Israeli AI startup Aidoc raises $150m for medical tools

Israeli medical imaging AI startup Aidoc has raised US$150 million in a round led by a Goldman Sachs-managed fund.

The raise came less than a year after a similar funding round and brings its total funding to more than US$500 million.

Investors include Nvidia unit NVentures, General Catalyst, and Amazon Web Services.

Aidoc said it will use the money to develop CARE, a foundation model trained on tens of millions of medical scans.

The US Food and Drug Administration cleared 11 new indications for CARE in January 2026, bringing Aidoc to more than 30 approvals.

Aidoc said its tools are used in more than 1,600 medical centers worldwide.

🔗 Source: Axios

🧠 Food for thought

Implications, context, and why it matters.

Hospitals run on thin margins. Costly AI tools get adopted when they can pay for themselves, since reimbursement from insurers and other payers remains limited and uneven 1.
AI can create that payback in two ways. It can lift revenue by finding more clinically necessary follow-up scans, hospitalizations, and treatment procedures, or trim costs such as a patient’s length of stay 1, 2.
An analysis of an AI-powered radiology imaging platform put ROI at 451% over five years. The figure rose to 791% when radiologist time savings were included, though results changed with factors such as the number of extra necessary treatments triggered by AI patient identification 2.
Aidoc is building a foundation model, a large AI model trained on broad datasets that can support many tasks. The company says it can spot dozens of findings at once, which could widen its impact while raising risks such as alert fatigue, when clinicians get so many notifications that important ones may be missed 3.

The US$150 million raise marks a move away from niche algorithms toward enterprise platforms. The AI in radiology market is projected to reach US$3,227.1 million by 2034 4.
Winning in this market now means fitting AI into core hospital systems. Philips, the Dutch health technology company, is pursuing the same platform approach through its collaboration with Amazon Web Services (AWS), Amazon’s cloud computing division 5.
For hospitals, adoption is no longer a simple software purchase. It brings a broad operational change that calls for stronger readiness to protect patient safety and avoid staff burnout 3.
Medical AI vendors now face scrutiny on measurable clinical, operational, and financial results in real care settings 3.