What You Should Know:
– Aidoc, a clinical AI platform with the highest number of FDA-cleared solutions in its category, secures $150M in funding, led by General Catalyst and Square Peg, with participation from NVentures (NVIDIA’s venture capital arm) and four major U.S. health systems (Hartford HealthCare, Mercy, Sutter Health, and WellSpan Health). The funding also includes a $40M revolving credit facility, bringing Aidoc’s total funding to $370M.
– The $150M will be used to accelerate the development of CARE™, the company’s clinical-grade foundation model designed to assist physicians in clinical decisions.
Clinical AI: Infrastructure for Modern Care
Healthcare faces a “perfect storm” of challenges: 371,000 annual deaths from diagnostic errors, a growing physician shortage, and an ever-expanding body of clinical knowledge. Clinical AI addresses these issues by improving clinical decision-making at the point of care, flagging suspected high-risk findings, automating follow-ups, and getting patients to the right care faster. Beyond efficiency, clinical AI drives better outcomes, alleviates cognitive overload, and helps reduce clinician burnout.
CARE™: Rewriting the Rules of Clinical AI
CARE™, a clinical-grade foundation model trained on multimodal data, already powers FDA-cleared applications and enables the development of new indications up to 20 times faster. All Aidoc models will transition to CARE due to its unmatched clinical accuracy. Within three years, CARE is expected to massively expand and cover 90% of clinically relevant diseases, including cancer and cardiovascular conditions.
CARE-Powered Solutions
This investment builds on a wave of momentum: two CARE-powered solutions have already earned FDA clearance, and new enterprise-wide rollouts were announced in the past month at Advocate Health and Sutter Health. To date, Aidoc supports care for more than 45 million patients annually across over 150 health systems, with a goal to reach 100 million in three years. Its leading health system partners include Mount Sinai Health System, Yale New Haven Health System, Northwell Health, University of Miami Health System, and Temple Health.
“Model accuracy is paramount when touching the core of a physician’s work,” said Michael Braginsky, Co-founder and Chief Technology Officer of Aidoc. “Foundation models will soon be as ubiquitous in healthcare as ChatGPT is in general use. Scaling clinical AI is an enormous lift – it requires top-tier talent, powerful infrastructure, deep real-world insight and sustained funding. Success isn’t guaranteed, but we believe we’re in a unique position to bring this vision to life, and we feel a deep responsibility to do so.”
