Doctors treat a multitude of patients daily, with needs ranging from simple to very complex. To deliver effective care, they must be familiar with eac

Google's medical AI destroys GPT's benchmark and outperforms doctors

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2024-05-06 08:30:06

Doctors treat a multitude of patients daily, with needs ranging from simple to very complex. To deliver effective care, they must be familiar with each patient’s health record and keep up-to-date with the newest procedures and treatments. And then there’s the all-important doctor-patient relationship, built on empathy, trust, and communication. For an AI to come close to emulating a real-world doctor, it needs to be able to do all of these things.

The intersection of AI and medicine has really taken off. In the last six months, New Atlas has reported on AI models that aid less experienced doctors in identifying the precursors of colon cancer, diagnose childhood autism from eye images, and predict in real-time whether a surgeon has removed all cancerous tissue during breast cancer surgery. But Med-Gemini is something else.

Google’s Gemini models are a new generation of multimodal AI models, meaning that they can process information from different modalities, including text, images, videos, and audio. The models are adept at language and conversation, understanding the diverse information they’re trained on, and what’s called ‘long-context reasoning,’ or reasoning from large amounts of data such as hours of video or tens of hours of audio.