# Best AI Medical Diagnostic Platforms

  *By [Emma Stein](https://research.g2.com/insights/author/emma-stein)*

   AI medical diagnostic platforms use artificial intelligence to help medical professionals detect diseases, interpret images, and make better diagnostic decisions. These tools review data, such as X-rays, CT scans, lab results, and patient records to identify patterns and flag potential health concerns.

Health care providers use AI-powered diagnostic platforms in hospitals, clinics, imaging labs, and telehealth to help reduce errors, speed up clinical workflows, and prioritize urgent cases. These products support specialists such as radiologists, cardiologists, neurologists, and pathologists by enabling them to review more cases more accurately and efficiently. These tools analyze information within healthcare systems, such as picture archiving and communication systems (PACS), [electronic health records (EHR)](https://www.g2.com/categories/ehr), [radiology information systems (RIS)](https://www.g2.com/categories/radiology-information-systems), or clinical workflow tools.

To qualify for inclusion in the AI Medical Diagnostic Platforms category, a product must:

- Use AI or machine learning (ML) to generate diagnostic output or decision support
- Analyze medical data, including imaging, lab results, or clinical records
- Provide output relevant to detecting, classifying, or flagging diseases or health conditions
- Integrate with health care systems such as picture archiving and communication systems (PACS), electronic health records (EHR), radiology information systems (RIS), or clinical workflow tools
- Complies with relevant regulatory standards




  
## How Many AI Medical Diagnostic Platforms Products Does G2 Track?
**Total Products under this Category:** 28

### Category Stats (May 2026)




*Last updated: May 19, 2026*

  
## How Does G2 Rank AI Medical Diagnostic Platforms Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 0+ Authentic Reviews
- 28+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

  
## Which AI Medical Diagnostic Platforms Is Best for Your Use Case?

- **Best Free Software:** [Medicai](https://www.g2.com/products/medicai/reviews)

  
  ## What Are the Top-Rated AI Medical Diagnostic Platforms Products in 2026?
### 1. [Advanced Visualization Workspace](https://www.g2.com/products/advanced-visualization-workspace/reviews)
  Philips' Advanced Visualization Workspace 15 is a comprehensive, scalable image post-processing platform designed to enhance diagnostic confidence and streamline reporting through optimized workflows and automated results. This intelligent and connected solution seamlessly integrates within healthcare enterprises, enabling physicians to perform advanced analyses and follow-ups even in complex clinical settings. Key Features and Functionality: - Enhanced Cardiac MR Reading Experience: The MR Cardiac Suite introduces an award-winning interface that facilitates seamless review and analysis of cardiac MR studies within a unified environment. It offers multimodality 2D and 3D viewing, comparison to prior studies, and flexible, personalized layouts. The intuitive design allows users to complete most tasks with minimal training. - Personalized Cardiac MR Workflow: The platform provides an optimized workflow for processing cardiac MR studies, including automatic left and right ventricular contouring, user-defined viewing protocols, and customization based on specific clinical questions. Users can set their own normal values, and a consolidated findings dashboard presents all results in one place. - Comprehensive Cardiac Analysis with CAD-RADS Functionality: Integration of coronary lesion data into a single view supports the determination of disease severity and facilitates results communication. The semi-automatic CAD-RADS workflow standardizes result communication, and a multi-batch option allows saving MPR images of all selected coronaries to PACS or other configured devices. Primary Value and User Solutions: Advanced Visualization Workspace 15 addresses the need for efficient and accurate image post-processing in healthcare settings. By automating routine tasks and optimizing workflows, it reduces the time required for reporting, allowing clinicians to focus more on patient care. The platform's scalability ensures it can adapt to various enterprise sizes, and its seamless integration with existing systems promotes a cohesive and efficient diagnostic environment. Ultimately, it enhances diagnostic confidence and supports comprehensive patient management.



**Who Is the Company Behind Advanced Visualization Workspace?**

- **Seller:** [Philips](https://www.g2.com/sellers/philips)
- **HQ Location:** Amsterdam, NL
- **LinkedIn® Page:** https://www.linkedin.com/company/philips (70,773 employees on LinkedIn®)
- **Ownership:** NYSE: PHG



### 2. [Aidoc](https://www.g2.com/products/aidoc/reviews)
  Aidoc is a pioneering force in clinical AI. We focus on aiding and empowering healthcare teams to optimize patient outcomes, which results in improved economic value and clinical outcomes. Our clinically proven AI solutions eliminate silos, increase efficiencies, and improve outcomes by delivering critical information when and where care teams need it leading to immediate collective action. Powered by Aidoc’s exclusive aiOS, we analyze and aggregate medical data to enable care teams to operationalize the unexpected and work seamlessly with a continued focus on the patient. Aidoc AI is always on, running in the background to change the foreground. Aidoc is a pioneering force in clinical AI. Powered by Aidoc’s exclusive aiOS, we analyze and aggregate medical data to enable care teams to operationalize the unexpected and work seamlessly with a continued focus on the patient. Aidoc AI is always on, running in the background to change the foreground.



**Who Is the Company Behind Aidoc?**

- **Seller:** [Aidoc](https://www.g2.com/sellers/aidoc)
- **Year Founded:** 2016
- **HQ Location:** New York, New York, United States
- **Twitter:** @aidocmed (3,408 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/aidoc/ (503 employees on LinkedIn®)



### 3. [AI-Rad Companion](https://www.g2.com/products/ai-rad-companion/reviews)
  AI-Rad Companion is a suite of AI-powered, cloud-based tools designed to assist radiologists in interpreting medical images across multiple modalities. By automating routine tasks such as highlighting abnormalities, segmenting anatomical structures, and comparing findings to reference values, AI-Rad Companion aims to reduce the workload of radiologists and enhance diagnostic precision. Key Features and Functionality: - Automated Image Post-Processing: Utilizes deep learning algorithms to automatically process imaging datasets, identifying and measuring organs and lesions, and generating quantitative reports. - Multi-Modality Support: Offers applications for various imaging modalities, including CT and MRI, covering multiple body regions such as the chest, brain, prostate, and more. - Seamless Integration: Integrates into existing clinical workflows, providing results in DICOM format that can be accessed directly within the Picture Archiving and Communication System (PACS). - Cloud-Based Deployment: Deployed via the teamplay digital health platform, facilitating regular updates and scalability across different sites and vendors. Primary Value and User Benefits: AI-Rad Companion addresses the challenges of increasing workloads and the need for consistent, high-quality imaging interpretations in radiology. By automating repetitive tasks and providing standardized, quantitative analyses, it enables radiologists to focus more on critical cases, potentially improving diagnostic accuracy and patient outcomes. The integration of AI-Rad Companion into clinical routines may lead to increased efficiency, reduced turnaround times, and enhanced consistency in imaging assessments.



**Who Is the Company Behind AI-Rad Companion?**

- **Seller:** [Siemens Healthineers](https://www.g2.com/sellers/siemens-healthineers-b376b7c5-19c5-4728-a1a6-97d6f04d8b2a)
- **Year Founded:** 2008
- **HQ Location:** Forchheim, DE
- **Twitter:** @SiemensHealth (79,843 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/siemens-healthineers (48,216 employees on LinkedIn®)



### 4. [Arterys MICA](https://www.g2.com/products/arterys-mica/reviews)
  Arterys MICA is a medical imaging software for image analytics that can assist with cardio, lung, and liver diagNoses.



**Who Is the Company Behind Arterys MICA?**

- **Seller:** [Arterys](https://www.g2.com/sellers/arterys)
- **Year Founded:** 2013
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** http://www.linkedin.com/company/arterys (16 employees on LinkedIn®)



### 5. [Chest X-ray Reporting](https://www.g2.com/products/chest-x-ray-reporting/reviews)
  qXR is an advanced AI-powered solution designed to enhance the efficiency and accuracy of chest X-ray interpretation. Trained on over 9 million scans and having processed more than 10.7 million, qXR delivers comprehensive reports in under 20 seconds, significantly reducing turnaround times by 40%. It identifies a wide range of abnormalities across the lungs, pleura, mediastinum, bones, diaphragm, and heart, aiding in the detection of conditions such as tuberculosis and lung cancer. With a 99% negative predictive value in segregating unremarkable chest X-rays, qXR effectively clears reporting backlogs and supports high-volume settings like teleradiology and immigration screenings. Its multilingual support and flexible deployment options, including cloud and on-premise, ensure seamless integration into diverse clinical environments.



**Who Is the Company Behind Chest X-ray Reporting?**

- **Seller:** [Qure.ai](https://www.g2.com/sellers/qure-ai)
- **Year Founded:** 2016
- **HQ Location:** New York , United States
- **LinkedIn® Page:** https://www.linkedin.com/company/qure.ai/ (312 employees on LinkedIn®)



### 6. [Deep Resolve](https://www.g2.com/products/deep-resolve/reviews)
  Deep Resolve is an AI-powered image reconstruction technology developed by Siemens Healthineers to revolutionize MRI imaging by significantly enhancing speed and image quality. By integrating advanced algorithms for noise reduction and high-resolution imaging, Deep Resolve enables faster scans without compromising diagnostic accuracy, thereby improving clinical productivity and patient comfort. Key Features and Functionality: - Deep Resolve Boost: Utilizes deep learning for noise reduction, accelerating MRI scans by up to 73% when combined with parallel imaging (PAT) and Simultaneous Multi-Slice (SMS) techniques. - Deep Resolve Sharp: Employs a deep neural network to generate high-resolution images from low-resolution inputs, effectively doubling the resolution compared to conventional methods. - Enhanced Patient Experience: Shorter scan times reduce patient discomfort and minimize motion artifacts, decreasing the likelihood of repeated scans. - Energy Efficiency: Accelerated image acquisition leads to reduced energy consumption per patient, promoting sustainability in clinical operations. Primary Value and User Benefits: Deep Resolve addresses the need for faster, high-quality MRI scans, enhancing clinical workflow efficiency and patient throughput. Its advanced image reconstruction capabilities ensure diagnostic precision, while the reduced scan times improve patient comfort and compliance. Additionally, the technology's energy-efficient design supports environmentally conscious healthcare practices.



**Who Is the Company Behind Deep Resolve?**

- **Seller:** [Siemens Healthineers](https://www.g2.com/sellers/siemens-healthineers-b376b7c5-19c5-4728-a1a6-97d6f04d8b2a)
- **Year Founded:** 2008
- **HQ Location:** Forchheim, DE
- **Twitter:** @SiemensHealth (79,843 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/siemens-healthineers (48,216 employees on LinkedIn®)



### 7. [Enlitic](https://www.g2.com/products/enlitic/reviews)
  A machine learning solution for diagnostic healthcare.



**Who Is the Company Behind Enlitic?**

- **Seller:** [Enlitic](https://www.g2.com/sellers/enlitic)
- **Year Founded:** 2014
- **HQ Location:** Fort Collins, US
- **Twitter:** @enlitic (4,218 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/enlitic/ (45 employees on LinkedIn®)



### 8. [Heart Failure](https://www.g2.com/products/heart-failure/reviews)
  Qure.ai's qXR-HF is an advanced AI-powered solution designed to facilitate the early detection of heart failure risk through the analysis of chest X-rays. By leveraging deep learning algorithms, qXR-HF identifies critical indicators such as cardiomegaly (enlarged heart) and pleural effusion (fluid accumulation), which are commonly associated with heart failure. This technology aims to enhance diagnostic accuracy, reduce the likelihood of late or missed diagnoses, and ultimately improve patient care outcomes.



**Who Is the Company Behind Heart Failure?**

- **Seller:** [Qure.ai](https://www.g2.com/sellers/qure-ai)
- **Year Founded:** 2016
- **HQ Location:** New York , United States
- **LinkedIn® Page:** https://www.linkedin.com/company/qure.ai/ (312 employees on LinkedIn®)



### 9. [Lung Nodule Management](https://www.g2.com/products/lung-nodule-management/reviews)
  Qure.ai's Lung Nodule Management suite is an AI-driven solution designed to enhance the early detection and management of lung nodules, thereby facilitating prompt intervention and improving patient outcomes. This comprehensive suite integrates advanced algorithms to analyze chest X-rays and CT scans, providing clinicians with rapid, accurate, and detailed assessments of lung health.



**Who Is the Company Behind Lung Nodule Management?**

- **Seller:** [Qure.ai](https://www.g2.com/sellers/qure-ai)
- **Year Founded:** 2016
- **HQ Location:** New York , United States
- **LinkedIn® Page:** https://www.linkedin.com/company/qure.ai/ (312 employees on LinkedIn®)



### 10. [Lunit](https://www.g2.com/products/lunit/reviews)
  Lunit, abbreviated from “learning unit,” is a Medical AI software company devoted to developing advanced medical image analytics and novel imaging biomarkers via cutting-edge deep learning technology. Founded in 2013, Lunit has been internationally acknowledged for its advanced, state-of-the-art technology and its application in medical images. Lunit is based in Seoul, South Korea.



**Who Is the Company Behind Lunit?**

- **Seller:** [Lunit](https://www.g2.com/sellers/lunit)
- **HQ Location:** Boston, Massachusetts, US
- **LinkedIn® Page:** https://www.linkedin.com/company/10249383 (485 employees on LinkedIn®)



### 11. [Medicai](https://www.g2.com/products/medicai/reviews)
  Medicai is a cloud-based PACS and medical imaging platform that brings AI-assisted reporting, structured templates, and case-based collaboration into one unified workspace. It replaces fragmented workflows across PACS, CDs, email, messaging apps, and manual document exchange, making it easier for radiologists, specialists, and care teams to work together, faster, from anywhere. With Medicai, imaging studies can be uploaded directly from local PACS, modalities, CDs, or web browser, and are instantly available through a secure, browser-based DICOM Viewer. No installation, VPN, or workstation setup required. The viewer supports multi-series comparison, synchronized windows, annotations, measurements, and multi-modality workflows (MRI, CT, PET-CT, Ultrasound, X-ray). Structured reporting templates and an integrated AI Copilot assist with summarization, voice dictation, and draft report creation. This helps radiologists reduce reporting time, standardize terminology, and maintain consistency across providers and locations. Medicai organizes all imaging, documents, reports, and discussions in a shared patient case timeline. Specialists, surgeons, treating physicians, and referring providers can be added securely with granular access control and full audit trails. Patients can upload their imaging via secure upload links—no CDs or physical transfers required. For multi-site organizations and teleradiology operations, Medicai supports workload routing, case assignment, group collaboration, role-based access, and quality assurance workflows. Video consultations—either via Zoom or integrated calls—can be launched directly from a case to review findings in real-time. Key capabilities include: • Cloud PACS with encrypted, scalable storage • Browser-based DICOM Viewer; no local installation required • AI-assisted structured reporting and dictation workflows • Case-based collaboration across physicians, specialists, and legal teams • Secure patient and referring provider upload tools • Multi-location teleradiology workflows and case assignment • Audit trails, access controls, and compliance support (HIPAA / GDPR) • Optional integrations with RIS, EHR, PACS, and third-party systems via APIs Medicai is designed for radiology groups, hospitals, imaging centers, teleradiology providers, healthcare networks, multidisciplinary care teams, and organizations that need to share imaging securely across locations. It offers the flexibility of cloud access while maintaining medical-grade security, reliability, and traceability.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1

**Who Is the Company Behind Medicai?**

- **Seller:** [INNOVATOR ARTIFICIAL TECH SRL](https://www.g2.com/sellers/innovator-artificial-tech-srl)
- **Year Founded:** 2018
- **HQ Location:** Dover, US
- **Twitter:** @medicaiapp (18 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/medicai-io (15 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Mid-Market


### 12. [MR SmartSpeed](https://www.g2.com/products/mr-smartspeed/reviews)
  Philips MR SmartSpeed is an advanced MRI acceleration technology that integrates artificial intelligence (AI) to enhance imaging speed and quality. By building upon Philips' established Compressed SENSE technology, SmartSpeed applies AI algorithms early in the image reconstruction process, enabling scans up to three times faster and delivering up to 65% higher resolution. This innovation is compatible with 97% of clinical protocols, making it suitable for a wide range of patient conditions and anatomical areas. Key Features and Functionality: - Accelerated Imaging: SmartSpeed increases imaging speed by up to a factor of three, reducing exam times and improving department productivity. - Enhanced Image Resolution: The technology provides up to 65% greater resolution, ensuring outstanding image quality that boosts clinical confidence. - Broad Compatibility: Supporting 97% of clinical protocols, including both 2D and 3D sequences, SmartSpeed addresses the imaging needs of a diverse patient population. - AI Integration: By incorporating deep learning AI reconstruction at the source of image acquisition, SmartSpeed ensures data consistency and minimizes information loss, leading to more reliable and detailed images. Primary Value and User Benefits: MR SmartSpeed significantly enhances MRI department efficiency by reducing scan times, allowing for increased patient throughput and reduced operational costs. The improved image quality aids radiologists in making more accurate diagnoses, thereby enhancing patient care. Its broad applicability ensures that a wide range of patients, including those with implants or who are unable to hold their breath during scans, can benefit from high-quality imaging. Overall, SmartSpeed addresses the need for faster, more precise, and patient-friendly MRI examinations.



**Who Is the Company Behind MR SmartSpeed?**

- **Seller:** [Philips](https://www.g2.com/sellers/philips)
- **HQ Location:** Amsterdam, NL
- **LinkedIn® Page:** https://www.linkedin.com/company/philips (70,773 employees on LinkedIn®)
- **Ownership:** NYSE: PHG



### 13. [MSK X-Ray Reporting](https://www.g2.com/products/msk-x-ray-reporting/reviews)
  qMSK is an AI-powered assistant designed to enhance the interpretation and reporting of musculoskeletal (MSK) X-rays, particularly in trauma cases. It analyzes radiographs across 15 anatomical regions—including the clavicle, ribs, shoulder, humerus, elbow, forearm, wrist, hand/fingers, hip, pelvis, femur, knee, tibia-fibula, ankle, and foot/toe—to detect signs of fractures. The system processes scans in under 20 seconds, providing outputs such as bounding boxes highlighting suspected fracture sites and summaries of AI findings.



**Who Is the Company Behind MSK X-Ray Reporting?**

- **Seller:** [Qure.ai](https://www.g2.com/sellers/qure-ai)
- **Year Founded:** 2016
- **HQ Location:** New York , United States
- **LinkedIn® Page:** https://www.linkedin.com/company/qure.ai/ (312 employees on LinkedIn®)



### 14. [myExam Companion](https://www.g2.com/products/myexam-companion/reviews)
  myExam Companion is an intelligent imaging solution developed by Siemens Healthineers that leverages digitalization and artificial intelligence to transform medical imaging procedures. By converting data into integrated expertise, it assists users in efficiently achieving reproducible results, regardless of their experience level, patient variability, or procedural complexity. This system guides operators through diagnostic procedures, facilitating natural and easy interaction with both patients and technology, thereby ensuring consistent and comprehensive imaging outcomes. Key Features and Functionality: - Built-in Knowledge: myExam Companion transforms data into embedded expertise, simplifying scan procedures and reducing complexity for users across various experience levels. - Intuitive Interfaces: Utilizing clinical language and straightforward visuals, the system simplifies operation, even for unfamiliar imaging modalities, enabling users to focus more effectively on patient care and image acquisition. - Intelligent Guidance: The system offers proactive assistance, helping users navigate imaging procedures with ease. It optimizes acquisition and reconstruction parameters tailored to individual patients and procedures, enhancing efficiency and consistency. Primary Value and User Solutions: myExam Companion addresses the challenges of complex imaging operations by providing intelligent automation and guidance, which leads to: - Enhanced Consistency: Ensures uniform imaging results across different users, patients, and procedures. - Increased Efficiency: Streamlines workflows, reducing the time and effort required for imaging procedures. - Improved Diagnostic Confidence: Delivers high-quality, reproducible images that support accurate diagnoses. By integrating myExam Companion into their imaging systems, healthcare providers can unlock the full potential of their medical imaging devices, leading to better patient outcomes and optimized operational performance.



**Who Is the Company Behind myExam Companion?**

- **Seller:** [Siemens Healthineers](https://www.g2.com/sellers/siemens-healthineers-b376b7c5-19c5-4728-a1a6-97d6f04d8b2a)
- **Year Founded:** 2008
- **HQ Location:** Forchheim, DE
- **Twitter:** @SiemensHealth (79,843 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/siemens-healthineers (48,216 employees on LinkedIn®)



### 15. [Nanox.AI](https://www.g2.com/products/nanox-ai/reviews)
  Nanox.AI is a suite of FDA-cleared artificial intelligence solutions designed to analyze routine medical CT scans and identify early signs of chronic diseases. By leveraging advanced AI algorithms, Nanox.AI assists clinicians in detecting asymptomatic, undiagnosed conditions, facilitating earlier diagnosis and preventive care. This proactive approach aims to improve patient outcomes and reduce the burden on healthcare systems. Key Features and Functionality: - HealthCCSng Cardiac Solution: Automatically detects coronary artery calcification (CAC from routine chest CT scans, aiding in the identification of patients at risk for coronary artery disease without the need for dedicated imaging. - HealthOST Bone Solution: Identifies vertebral compression fractures and low bone mineral density in chest and abdominal CT scans, assisting in the early detection of osteoporosis. - HealthFLD Fatty Liver Solution: Utilizes AI algorithms to detect signs of fatty liver disease in routine CT scans, enabling early intervention strategies. Primary Value and Problem Solved: Nanox.AI addresses the challenge of undiagnosed chronic conditions by extracting actionable insights from existing medical imaging data. Its AI-driven analysis enables healthcare providers to identify at-risk patients earlier in their disease progression, allowing for timely interventions and personalized preventive care plans. This not only enhances patient health outcomes but also optimizes healthcare resources by reducing the incidence of advanced disease complications.



**Who Is the Company Behind Nanox.AI?**

- **Seller:** [Nanox](https://www.g2.com/sellers/nanox)
- **HQ Location:** Petach Tikva, IL
- **LinkedIn® Page:** https://www.linkedin.com/company/nanox-imaging (110 employees on LinkedIn®)



### 16. [OpenEvidence](https://www.g2.com/products/openevidence/reviews)
  OpenEvidence is a medical information platform designed to assist healthcare professionals in navigating the vast and rapidly expanding body of medical research. Originating from the Mayo Clinic Platform Accelerate program, it integrates multimedia and clinical findings from esteemed sources like The New England Journal of Medicine. By aggregating, synthesizing, and presenting clinically relevant evidence in accessible formats, OpenEvidence empowers medical practitioners to make informed, evidence-based decisions, ultimately enhancing patient outcomes.



**Who Is the Company Behind OpenEvidence?**

- **Seller:** [OpenEvidence](https://www.g2.com/sellers/openevidence)
- **Year Founded:** 2021
- **HQ Location:** Cambridge, US
- **LinkedIn® Page:** https://www.linkedin.com/company/openevidence/ (106 employees on LinkedIn®)



### 17. [PathAI](https://www.g2.com/products/pathai/reviews)
  PathAI Products and Services. Evolving pathology using machine learning and deep learning techniques to drive faster more accurate diagnosis of disease.



**Who Is the Company Behind PathAI?**

- **Seller:** [PATHAI](https://www.g2.com/sellers/pathai)
- **Year Founded:** 2016
- **HQ Location:** Boston, US
- **LinkedIn® Page:** https://www.linkedin.com/company/pathai (268 employees on LinkedIn®)



### 18. [qER](https://www.g2.com/products/qer/reviews)
  From medical images to connected devices, the amount of medical data being generated is growing exponentially. This coupled with new forms of data such as the ones generated by genome sequencing and biosensors renders traditional diagnostic methods obsolete. At Qure, we are a team of passionate computer scientists, medical practitioners and bioinformaticians who are on a mission to make healthcare more accessible and affordable using the power of deep learning.



**Who Is the Company Behind qER?**

- **Seller:** [Qure.ai](https://www.g2.com/sellers/qure-ai)
- **Year Founded:** 2016
- **HQ Location:** New York , United States
- **LinkedIn® Page:** https://www.linkedin.com/company/qure.ai/ (312 employees on LinkedIn®)



### 19. [Qure AI](https://www.g2.com/products/qure-ai-2022-07-05/reviews)
  Qure.ai is a pioneering health technology company that leverages artificial intelligence (AI to enhance the accuracy and efficiency of medical imaging diagnostics. By integrating deep learning algorithms with existing radiology equipment, Qure.ai provides automated interpretation of X-rays, CT scans, and ultrasounds, delivering results within seconds. This rapid analysis empowers healthcare professionals to make timely, informed decisions, ultimately improving patient outcomes and making quality healthcare more accessible and affordable worldwide. Key Features and Functionality: - qXR: An AI-driven tool that analyzes chest X-rays to detect over 30 abnormalities, including signs of tuberculosis and lung cancer, in less than a minute. - qER: Designed for brain CT scans, this solution aids in the rapid detection of traumatic brain injuries and strokes, facilitating quicker decision-making in emergency settings. - qCT: An AI-powered tool for chest CT scans, enabling early detection of lung nodules and other abnormalities, crucial for lung cancer screening programs. - qMSK: An innovative AI solution focused on identifying musculoskeletal abnormalities, including fractures, to assist in orthopedic diagnostics. - qTrack: A comprehensive disease management platform that offers end-to-end solutions for screening programs and case management, enhancing care coordination and monitoring through customized dashboards. Primary Value and User Solutions: Qure.ai addresses critical challenges in medical diagnostics by providing AI-powered tools that significantly reduce the time required for image interpretation, thereby expediting diagnosis and treatment. This is particularly vital in time-sensitive situations like stroke care, where rapid intervention can be life-saving. Additionally, by automating routine diagnostic tasks, Qure.ai alleviates the workload of radiologists, allowing them to focus on complex cases. The technology's compatibility with existing imaging equipment ensures seamless integration without the need for costly hardware upgrades, making advanced diagnostic capabilities accessible even in resource-limited settings. Overall, Qure.ai's solutions enhance diagnostic accuracy, streamline clinical workflows, and improve patient outcomes on a global scale.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1

**Who Is the Company Behind Qure AI?**

- **Seller:** [Qure.ai](https://www.g2.com/sellers/qure-ai)
- **Year Founded:** 2016
- **HQ Location:** New York , United States
- **LinkedIn® Page:** https://www.linkedin.com/company/qure.ai/ (312 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Enterprise


### 20. [Stroke & TBI](https://www.g2.com/products/stroke-tbi/reviews)
  qER by Qure.ai is an AI-powered solution designed to enhance the diagnosis and management of stroke and traumatic brain injury (TBI) through rapid and accurate analysis of non-contrast head CT scans. By integrating seamlessly into existing radiology workflows, qER prioritizes critical cases, enabling faster team activation and improved patient outcomes. The system detects and quantifies key abnormalities such as intracranial hemorrhages, cranial fractures, mass effect, and midline shifts, providing clinicians with comprehensive insights to make informed decisions promptly. With regulatory clearances including FDA 510(k) and CE Class IIb certifications, qER is a trusted tool in neuro-critical care settings.



**Who Is the Company Behind Stroke & TBI?**

- **Seller:** [Qure.ai](https://www.g2.com/sellers/qure-ai)
- **Year Founded:** 2016
- **HQ Location:** New York , United States
- **LinkedIn® Page:** https://www.linkedin.com/company/qure.ai/ (312 employees on LinkedIn®)



### 21. [TB Care Cascades](https://www.g2.com/products/tb-care-cascades/reviews)
  qTrack is an AI-powered platform designed to enhance tuberculosis (TB) care cascades by streamlining screening programs and case management. Leveraging advanced artificial intelligence, qTrack facilitates rapid and accurate analysis of chest X-rays, significantly reducing the time from initial screening to confirmed diagnosis. This efficiency not only accelerates patient care but also optimizes resource utilization within healthcare systems.



**Who Is the Company Behind TB Care Cascades?**

- **Seller:** [Qure.ai](https://www.g2.com/sellers/qure-ai)
- **Year Founded:** 2016
- **HQ Location:** New York , United States
- **LinkedIn® Page:** https://www.linkedin.com/company/qure.ai/ (312 employees on LinkedIn®)



### 22. [Viz.ai, Inc.](https://www.g2.com/products/viz-ai-inc/reviews)
  Viz.ai is the pioneer in the use of AI algorithms and machine learning to increase the speed of diagnosis and care, covering more than 220 million lives across 1,400+ hospitals and health systems in the U.S. and Europe. The AI-powered Viz Platform is an intelligent care coordination solution that identifies more patients with a suspected disease, informs critical decisions at the point of care, and optimizes care pathways and helps improve outcomes. Backed by real-world clinical evidence, the Viz Platform delivers significant value to patients, providers, and pharmaceutical and medical device companies. For more information visit viz.ai.



**Who Is the Company Behind Viz.ai, Inc.?**

- **Seller:** [Viz.ai](https://www.g2.com/sellers/viz-ai)
- **Year Founded:** 2016
- **HQ Location:** San Francisco, US
- **Twitter:** @viz_ai (3,013 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/viz.ai/ (301 employees on LinkedIn®)



### 23. [VUNO Med-BoneAge](https://www.g2.com/products/vuno-med-boneage/reviews)
  VUNO Med®-BoneAge™ is an AI-powered diagnostic tool designed to assist healthcare professionals in assessing bone age through the analysis of hand X-ray images. By leveraging deep learning algorithms, it automatically evaluates the X-ray and presents the three most probable bone age candidates, streamlining the diagnostic process and enhancing accuracy. This solution is particularly beneficial in diagnosing growth disorders, such as short stature, tall stature, early or late puberty, and congenital adrenal hyperplasia, by providing precise bone age assessments. Key Features and Functionality: - Automated Bone Age Assessment: Utilizes AI to analyze hand X-ray images, delivering the top three most likely bone age results based on the Greulich-Pyle (GP) method, which categorizes males into 31 groups and females into 27 groups. - Efficient Workflow Integration: Reduces the time required for bone age evaluation by eliminating the need for manual comparison with reference materials. Clinicians can quickly select the most appropriate age from the provided options, enhancing workflow efficiency. - Comprehensive Reporting: Generates detailed reports that include visual graphs projecting the patient's final height, considering factors such as current age, height, and gender. This facilitates clear communication between healthcare providers and patients, improving patient engagement and satisfaction. - Regulatory Approvals: Recognized as Korea's first AI medical device, VUNO Med-BoneAge has received approvals from the Korean Ministry of Food and Drug Safety (MFDS) and the European CE certification, ensuring compliance with international medical standards. Primary Value and User Benefits: VUNO Med-BoneAge addresses the challenges associated with traditional bone age assessment methods, which can be time-consuming and subject to variability among clinicians. By automating the evaluation process, it significantly reduces reading time and enhances the consistency and accuracy of assessments. This leads to more reliable diagnoses of growth-related conditions, enabling timely and appropriate interventions. Additionally, the user-friendly interface and comprehensive reporting support effective communication with patients, fostering better understanding and adherence to treatment plans.



**Who Is the Company Behind VUNO Med-BoneAge?**

- **Seller:** [Vuno](https://www.g2.com/sellers/vuno)
- **Year Founded:** 2014
- **HQ Location:** Seoul, KR
- **LinkedIn® Page:** https://www.linkedin.com/company/vuno-inc/ (100 employees on LinkedIn®)



### 24. [VUNO Med-Chest X-ray](https://www.g2.com/products/vuno-med-chest-x-ray/reviews)
  VUNO Med®-Chest X-ray™ is an AI-powered diagnostic support solution designed to assist healthcare professionals in interpreting chest X-ray images. By analyzing key thoracic abnormalities, it enhances the detection and diagnosis of major lung diseases such as lung cancer, tuberculosis, and pneumonia. Key Features and Functionality: - Detection of Major Abnormalities: The system identifies five critical thoracic findings: nodule/mass, consolidation, interstitial opacity, pneumothorax, and pleural effusion. - Intuitive User Interface: Provides clear visualizations, including abnormality scores and lesion heatmaps, to aid in clinical decision-making. - Seamless Integration: Compatible with Picture Archiving and Communication Systems (PACS) and offers cloud-based services for flexible deployment. - Rapid Analysis: Delivers results in under 10 seconds, facilitating prompt clinical responses. - Regulatory Approvals: Certified by the Korea Ministry of Food and Drug Safety (MFDS) and holds CE certification, ensuring compliance with international medical device standards. Primary Value and User Benefits: VUNO Med®-Chest X-ray™ streamlines the diagnostic process by providing immediate, accurate analysis of chest X-rays, thereby reducing reading times and improving diagnostic accuracy. This efficiency supports healthcare providers in delivering timely and precise patient care, particularly in detecting and managing critical lung conditions.



**Who Is the Company Behind VUNO Med-Chest X-ray?**

- **Seller:** [Vuno](https://www.g2.com/sellers/vuno)
- **Year Founded:** 2014
- **HQ Location:** Seoul, KR
- **LinkedIn® Page:** https://www.linkedin.com/company/vuno-inc/ (100 employees on LinkedIn®)



### 25. [VUNO Med-DeepBrain](https://www.g2.com/products/vuno-med-deepbrain/reviews)
  VUNO Med-DeepBrain is an AI-powered medical device designed to assist in the diagnosis of neurodegenerative diseases by analyzing brain MRI scans. It automates the segmentation and quantification of over 100 brain regions, providing detailed volumetric data, cortical thickness measurements, and white matter hyperintensity assessments. By comparing a patient's brain atrophy data to a normative population, the software generates a comprehensive report with statistical analyses, visual graphs, and diagrams, aiding clinicians in identifying conditions such as Alzheimer's disease and vascular dementia. Key Features and Functionality: - Automated Brain Segmentation: Utilizes deep learning algorithms to divide brain MRI images into more than 100 distinct regions, facilitating precise analysis. - Quantitative Analysis: Provides volumetric measurements, cortical thickness data, and white matter hyperintensity evaluations for each segmented region. - Normative Comparison: Compares individual patient data against age- and gender-matched normative datasets, offering percentile scores to highlight deviations from typical brain structures. - Comprehensive Reporting: Generates customizable reports featuring statistical results, visual graphs, and color-coded overlays to enhance diagnostic interpretation. - Regulatory Approvals: Certified by the U.S. FDA, CE, and MFDS (K-FDA), ensuring compliance with international medical device standards. Primary Value and User Benefits: VUNO Med-DeepBrain streamlines the traditionally manual and time-consuming process of brain MRI analysis, enabling rapid and accurate assessment of neurodegenerative conditions. By providing objective, quantifiable data, it enhances diagnostic precision, supports early detection of diseases like Alzheimer's, and facilitates monitoring of disease progression. This efficiency not only improves patient outcomes through timely intervention but also optimizes clinical workflows, allowing healthcare professionals to allocate more time to patient care.



**Who Is the Company Behind VUNO Med-DeepBrain?**

- **Seller:** [Vuno](https://www.g2.com/sellers/vuno)
- **Year Founded:** 2014
- **HQ Location:** Seoul, KR
- **LinkedIn® Page:** https://www.linkedin.com/company/vuno-inc/ (100 employees on LinkedIn®)




    ## What Is AI Medical Diagnostic Platforms?
  [Health Care Software](https://www.g2.com/categories/health-care)