A new Stanford/Harvard study assessed 31 AI models. Here's the winner and the full list of AIs ranked by how well they answer complex clinical questions.

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...

By Hugo Francisco de Souza A massive new multimodal AI system trained on tens of millions of medical images could help unify fragmented radiology tools and assist doctors in interpreting scans and ...

Untitled #196, 2018, Digital C-Print by Simen Johan // Med-Gemini’s Lion’s Roar. Each of my stories includes an original artwork. Clicking on them will take you to their websites. I am grateful to the ...

Large language models (LLMs) can store and recall vast quantities of medical information, but their ability to process this information in rational ways remains variable. A new study led by ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...