Aidoc has raised $150M to accelerate development of its CARE foundation model for clinical AI in radiology and beyond.
Key Details
- 1Aidoc secured $150M in funding, bringing total raised to $370M since 2016.
- 2Investors include major U.S. hospital systems and venture capital firms; $40M is a revolving credit line.
- 3Funds will accelerate CARE, a clinical-grade foundation AI model adaptable across diseases.
- 4CARE aims to cover 90% of clinically relevant diseases within three years, including cancer and cardiovascular conditions.
- 5Aidoc supports decision-making for over 45 million patients annually across 150+ health systems.
- 6Company has over 20 FDA clearances and plans significant investment via partnerships with Nvidia and AWS.
Why It Matters
Aidoc's funding enables rapid development and scaling of foundational imaging AI, with potential to cover most clinically relevant diseases and support broader, system-wide AI adoption. Such progress could shift the landscape for radiologists and health systems, impacting workflow, diagnostics, and patient outcomes.
Source
Radiology Business
Related News
•Radiology Business
Radiology Demonstrates How AI Boosts, Not Replaces, Human Jobs
Despite over 1,000 FDA-cleared AI radiology tools, human radiologists remain essential, with job growth projected to continue.
•Radiology Business
Experts Warn of 'Zombie Algorithm' Crisis in Imaging AI
Columbia University experts caution that unchecked AI deployment in imaging may lead to a 'zombie algorithm' crisis and a looming technology bubble in healthcare.
•Radiology Business
Radiology Partners Uses LLMs to Monitor Clinical AI Deployment
Radiology Partners leverages large language models (LLMs) to monitor and validate AI tool deployment in clinical radiology workflows.