AIM in the News

LLM outperformed physicians on clinical tasks spanning published cases, real-world emergency room data

The team created a new tool that reduces bias and improves cancer diagnosis across populations

Researchers have developed an AI system called Dr. CaBot that spells out its reasoning as it works through challenging medical cases and reaches a diagnosis.

New tool helps surgeons tell apart aggressive glioblastoma from other cancers in the brain, guiding real-time treatment decisions.

New AI tool accurately identifies multiple drivers of disease in cells and predicts therapies that can restore cells to healthy function.

Researchers design a new way to more reliably evaluate AI models’ ability to make clinical decisions in realistic scenarios that closely mimic real-life interactions.

New AI model identifies possible therapies from existing medicines for thousands of diseases, including rare ones with no current treatments.

The new approach marks a major step forward in the design of AI tools to support clinical decisions in cancer diagnosis, therapy.

In a marked advance over current AI models, the new approach captures how proteins act not in isolation but in their cellular and tissue environments.

Flexible models show promise in diagnosis, prognosis, and prediction of treatment response in multiple clinical scenarios.