The AI Marketplace is a diagnostic imaging app store that gives developers immediate access to 70 percent of all radiologists across 5,500 connected healthcare facilities and gives subscribers a one-stop-shop to easily try and buy AI algorithms.
With our deep understanding of radiologists’ needs and workflows, we are uniquely positioned to help them lead the transformation of healthcare by leveraging the capabilities of AI. Now, with the ability to easily purchase and utilize AI algorithms directly within the solutions they use every day, radiologists can work smarter and more efficiently, focusing their time and expertise on more complex studies and urgent cases, and alleviating much of the remedial mundane tasks, ultimately improving patient care—and saving more lives.
Our expanding community of AI Marketplace developers, researchers and technology leaders that are committed to the widespread adoption of AI algorithms in radiology.
Founded by Radiologists and winners of the 2017 RSNA Machine Learning Challenge, 16 Bit prioritizes the rigorous development and validation of these state-of-the-art tools with the highest quality data and evidence-based practices.
Aidoc develops AI based decision support software. The technology analyzes medical imaging to provide the most comprehensive solution for detecting acute abnormalities across the body, helping radiologists prioritize life-threatening cases and expedite patient care.
CorticoMetrics seeks to improve the state of clinical decision making in neuroradiology, augmenting qualitative assessment with quantitative analysis of magnetic resonance imaging (MRI) scans of the brain targeting several neurological disorders and conditions.
The HICCAP Annotation platform is designed to enable the creation of curated data in the clinical setting and is built to integrate with existing systems, provide pixel-exact annotations with single clicks, and incorporate medical information into workflow and scale to thousands of annotators covering millions of patients.
Cercare Medical Nerosuite is an AI-based decision support software for brain MRI and CT scan analysis, helping doctors make the right decision in brain disease.
CuraCloud develops AI-enabled medical image analysis and natural language processing services in collaboration with leading radiology practices and medical centers to improve the efficiency and quality of care.
A.I. Analysis, Inc. Change Detector is the medical image analysis system that helps radiologists detect and track changes in brain images.
Corstem's AI-powered tools enable efficiency and automation for cardiac diagnostic aid to save valuable physician and patient time. They are developed, validated, and implemented in partnership with the National Institutes of Health (NIH) US and major hospital centers in Canada.
Densitas’ flagship product, DENSITAS|density™, is a zero-click automated breast density assessment tool that processes the same standard digital mammograms radiologists view.
The Aidence Veye Chest is a highly accurate AI assistant that supports radiologists with detecting, reporting, and tracking of pulmonary nodules
CorTechs Labs’ image analysis solutions provide neurologists, radiologists, and clinical researchers with a means to quantify subcortical structures to help in their assessment of a variety of neurological conditions, such as Alzheimer’s, epilepsy, multiple sclerosis, and brain trauma.
eUnity supports Enterprise Viewing for clinicians as well as Diagnostic Radiology in a single zero footprint platform. It’s advanced integration component has the power to connect to any PACS, VNA, or EMR, and integrates with AI applications to improve radiology reading productivity.
HealthLytix develops innovative quantitative medical imaging and genetic risk assessment solutions for a number of diseases with the goal to enable proactive and preventative healthcare through actionable health intelligence.
With big data analysis and computer vision, Imbio transforms standard medical images into rich visual maps of a patient’s condition, and quantitative reports that provide physicians detailed data on the type and extent of abnormalities found in the patient images.
nvidia's end-to-end AI computing platform (DIGITS) is designed for the healthcare community, enabling healthcare professionals to improve the efficiency of disease detection, diagnosis, and treatment.
Providers of a medical imaging AI Cloud platform based on deep learning, cloud computing, big data, and artificial intelligence with 4 algorithm products including CT pulmonary nodules detection, chest X-ray anomalies detection, X-ray fracture detection, and CTA intelligent diagnosis.
InferVision AI and deep learning technologies analyze DR, CT, and MRI images to provide radiologists with highly effective tools to reduce their workload and allow them to make faster and more accurate diagnoses.
OrthoPred is developing deep-learning based AI software to assist orthopedic specialists in reporting/analysis of musculoskeletal MRI and XRAY images.
Provider of comprehensive health intelligence insights through state-of-the-art analytics solutions for multimodal imaging, genetic risk, and other medical information, powered by machine learning and artificial intelligence.
Koios DS AI-based decision support aids in the analysis of ultrasound images to provide improved accuracy and efficiency in cancer diagnosis.
Using machine learning, Quantib gives radiologists the tools to rapidly and accurately diagnose patients and apply treatment. Neurodegenerative focused solutions are CE marked and FDA cleared.
ImageBiopsy Lab builds AI-powered solutions for the early detection and diagnosis of bone diseases. Its segmentation and analysis algorithms allow to efficiently and effectively investigate the condition and the quality of the bone, offering a detailed assessment report for radiologists and orthopedics alike.
Lunit is a venture company devoted to developing advanced medical image analytics and novel imaging biomarkers via cutting-edge deep learning technology.
QuantX™ combines machine learning and advanced image analysis with a deep database of historical cases to assist radiologists in the assessment and characterization of breast abnormalities using MR image data.
Subtle Medical uses its state-of-art AI algorithm to renovate radiology workflow and deliver faster, safer and smarter solutions for imaging exams.
VIDA is focused on improving pulmonary care with advanced imaging analytics. VIDA’s LungPrint™ solution aims to provide greater precision, personalization, and prediction across a range of lung diseases.
Qure.ai has built deep learning algorithms for radiology image processing including products that detect abnormalities in Chest X-Rays and Head CT Scans. In addition to sophisticated deep learning technology, they have trained the algorithms on one of the largest datasets collected in radiology.
Zebra is empowering radiologists with its revolutionary AI1 offering which helps health providers manage the ever-increasing workload without compromising quality.
Virtual Resident, created by RadLogics, is a software platform that enables image analysis applications of imaging data associated with CTs, MRIs and X-rays to automatically incorporate their analytics—with key images—into PACS and reporting systems.
Riverain Technologies is a clinical AI software innovator that develops solutions to aid clinicians in the more efficient and accurate detection of disease.
Comprehensive model for AI development, validation, and adoption that delivers the full benefits of AI to a wide range of stakeholders.
Nuance is working with standards bodies such as the American College of Radiology (ACR) to establish and apply API connectivity standards for the consumption of AI within radiology workflow, as well as EHRs, PACS, and registries. The AI Marketplace also combines the power of NVIDIA’s deep learning platform with Nuance’s PowerScribe radiology reporting and PowerShare image exchange network. This combination creates a unique end-to-end methodology that enables widespread development and rapid deployment of imaging AI models into the AI Marketplace, which is then integrated into the downstream workflow of thousands of radiologists, helping them quickly detect key clinical findings and improve patient care.
Machine learning and deep learning algorithms can improve radiologists’ productivity and accuracy while reducing repetitive tasks that lead to burnout—here are just a few examples.
Aidoc, Nuance and the University of Rochester are collaborating on a potentially life-saving worklist prioritization application. The FDA-cleared application analyzes CT exams indicating a suspected intracranial hemorrhage, then highlights these studies to allow radiologists to prioritize them on the PowerScribe Workflow Orchestration worklist for immediate attention in cases when time-to-treatment is critical.
Aidence, eUnity, Nuance and the University of Pennsylvania are collaborating on the development of an application to assist radiologists in the time-consuming task of detecting and characterizing pulmonary nodules for reporting and follow-up comparisons. The Aidence Veye Chest algorithm can detect, measure and characterize lung nodules in CT exams. It also can compare lung nodules in follow-up exams to assess changes. The accuracy of Aidence’s automated nodule diameter and volume measurement, growth rate and composition have been validated in a clinical study at NHS Lothian and the University of Edinburgh. Aidence’s Veye Chest application has received a CE mark but is not yet cleared by the FDA for clinical use.
Densitas’ FDA-cleared densitasdensity™ application automatically assesses breast density, an important predictor of breast cancer risk, while radiologists focus their time and attention on finding breast cancer. The densitasdensity algorithm analyzes images to provide consistent and reproducible breast density grades that align with the ACR’s 4th or 5th edition breast density scales. The application is intended for use with compatible full field digital mammography systems.
Zebra Med’s Coronary Calcium Scoring application checks for calcium buildup in the coronary arteries. Calcium in these arteries may be a sign of heart disease. Zebra has developed several algorithms that are designed to help institutions uncover incidental findings across a patient population that have meaning and potential impact on risk stratification. The Coronary Calcium Scoring application is intended for value-based institutions that hold preventative methodologies as a priority.
