Computer-aided diagnostic imaging utilizes algorithms to detect, extract, and communicate data from medical images more efficiently and accurately than the human eye. The technology is being deployed across several imaging modalities to improve the detection, diagnosis, triaging, and, ultimately, the prognosis of various medical conditions.
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Claim your CB Insights ProfileLeaders are the most established service providers in the market and possess the breadth to address various customer needs.
See why these companies made it as leaders for Computer-Aided Diagnostic Imaging. These companies include Lunit and PathAI.
South Korea / Founded Year: 2013
Lunit is a medical AI software company devoted to providing AI solutions for cancer diagnostics and therapeutics. With its deep learning technology, Lunit makes data-driven medicine the new standard of care. Lunit AI solutions help discover cancer and predict cancer treatment response by finding the right diagnosis at the right costs and the right treatment for the right patients.
GE Healthcare, Infinitt North America, Agfa HealthCare, and 2 more
Sunggyun Park, Anthony Paek, Brandon B. Suh
United States / Founded Year: 2016
PathAI provides AI-powered research tools and services for pathology. PathAI's platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine and deep learning.
United States / Founded Year: 2017
Cleerly is a healthcare company that uses AI powered imaging to analyze heart scans and whose mission is to create digital care pathways to prevent heart attacks. The company integrates clinical science with AI in order to offer clinical insights to every stakeholder in the heart care pathway. Through these data-driven solutions, it aims to provide a comprehensive solution for cardiovascular disease evaluation that offers great value to the healthcare system and improves heart health for patients at risk of heart attacks.
Canon Medical Systems, Canon Medical Systems USA, higi, and 2 more
James Min, Brandon Atkinson, Nick Nieslanik, and 2 more
Israel / Founded Year: 2016
Aidoc finds and flags critical findings in medical images. By automatically prioritizing urgent, life-threatening conditions like intracranial hemorrhage and pulmonary embolism, Aidoc saves lives, improves patient care and cuts waiting time for the must urgent patients down to only a few minutes. The always-on AI integrates into a radiologist's workflow, reprioritizing cases without forcing radiologists to change the way they work.
Subtle Medical, ScreenPoint Medical, Riverain Technologies, and 2 more
Atlantic Health System, Novant Health, Radiology Partners, and 1 more
Elad Walach, Michael Braginsky, Gal Yaniv
China / Founded Year: 2017
Shukun Technology develops diagnostic systems by using machine learning and AI technology for hospitals to improve efficiency. The company focuses on cardiovascular diagnosis.
Chun'e Ma, Zhang Lei
Israel / Founded Year: 2016
Ibex Medical Analytics develops AI-driven clinical decision support tools that help pathologists deliver more efficient, metric-driven, objective and accurate diagnosis. Ibex develops a diagnostic system that uses computer vision, machine learning, and electronic medical records to confirm cancer diagnoses of tissue biopsies. The company was founded in 2016 and is based in Israel.
Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.
See why these companies made it as highfliers for Computer-Aided Diagnostic Imaging. These companies include Paige and Infervision.
United States / Founded Year: 2017
Paige delivers AI-powered digital diagnostics and biomarkers for pathologists, oncologists, and the R&D community worldwide, while also working closely with biopharma companies to create custom diagnostic solutions and drug development technologies to improve patient care. The firm's target customers include pathologists, hospital leads/chairs as well as life sciences research and translational teams.
China / Founded Year: 2015
Infervision is a global high-tech enterprise in medical artificial intelligence, aiming to empower doctors with higher efficiency and benefit patients with better diagnosis, outcome, and lower cost. Infervision provides products and services to providers, and patients; with robust A.I. solutions fully integrated with the healthcare workflow to help diagnosing various diseases and conditions such as cerebral hemorrhage, lung cancer, bone fractures, emphysema, and more. Infervision also provides an AI-powered research platform for medical professionals with any research directions and needs.
Thynk Health, GE Healthcare, NVIDIA, and 1 more
Kuan Chen, Shaokang Wang
United States / Founded Year: 2017
Iterative Scopes is a software-only gastrointestinal data company that is working to deliver AI toolkits to the practice of gastroenterology.
Jonathan Ng, Richard Kho, Stan Norton, and 2 more
Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.
See why these companies made it as outperformers for Computer-Aided Diagnostic Imaging. These companies include Viz.ai and Imagen Technologies.
United States / Founded Year: 2016
Viz.ai aims to use artificial intelligence and deep learning to automatically identify suspected LVOs (large vessel occlusion) on CTA imaging with the aim of alerting a patient's physician within minutes. The company was founded in 2016 and is based in San Francisco, California.
TeleSpecialists, Medtronic, NICO, and 1 more
Manoj Ramachandran, Chris Mansi, Julie Skaff, and 2 more
United States / Founded Year: 2015
Imagen is building a world without diagnostic errors. The company is beginning by applying the latest advances in computer vision and machine learning to medical imaging. Imagen Technologies is putting leading medical expertise in the hands of healthcare providers everywhere.
Alexander Dresner, Thomas Hotchkiss, Robert Lindsey, and 1 more
Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.
See why these companies made it as challengers for Computer-Aided Diagnostic Imaging. These companies include Caption Health and Ultromics.
United States / Founded Year: 2013
Caption Health uses deep learning to help medical professionals in developing countries interpret ultrasounds so they can better treat heart disease.
Charles Cadieu, Ainslie Mayberry, Kilian Koepsell, and 1 more
United Kingdom / Founded Year: 2017
Ultromics is a global health technology company that provides autonomous echocardiography analysis through AI solutions – empowering physicians to make fast, accurate decisions when diagnosing cardiovascular disease. Its cloud-based service, EchoGo, uses artificial intelligence to fully automate the pathway to diagnosis, providing near-instant reports for clinicians without any need for physical software on site.
Ross Upton, Bill Fleming, Amir Hasan, and 2 more
Netherlands / Founded Year: 2014
ScreenPoint Medical, based in Nijmegen, has developed smart software for improving results of breast cancer screening. This software reads mammograms like a human reader and supports radiologists by identifying and interpreting potential problem areas on x-ray images. This reduces the chance of missing tumors and may be used to organize screening more efficiently.
Aidoc Medical, Fujifilm, Women's Imaging Associates, and 2 more
Nico Karssemeijer
Computer-aided diagnostic imaging utilizes algorithms to detect, extract, and communicate data from medical images more efficiently and accurately than the human eye. The technology is being deployed across several imaging modalities to improve the detection, diagnosis, triaging, and, ultimately, the prognosis of various medical conditions.
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