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. Aidoc was founded in 2016 and is based in Tel Aviv, Israel.

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.

Koios Medical is a provider of software solutions for radiologists diagnosing cancer. Using AI algorithms trained on thousands of images combined with data from pathology results, Koios DS™ is decision support for healthcare diagnostics.

Quibim, a company with its headquarters in Valencia, Spain, provides a whole-body medical imaging analysis. Quibim products are used worldwide by a huge diversity of research and care teams. Partners use Quibim Precision, a CE-marked whole-body imaging ecosystem, for a wide range of applications from detecting a disease to tracking the efficacy of treatments. Quibim follows an AI-first approach to help detect pathologies across every body part and imaging modality, using quantitative imaging biomarkers.

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.

Shukun Technology develops diagnostic systems by using machine learning and AI technology for hospitals to improve efficiency. The company focuses on cardiovascular diagnosis.