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    1. # Google Research and Google’s AI research lab, DeepMind, have detailed the impressive reach of Med-Gemini, a family of advanced AI models specialized in medicine. It’s a huge advancement in clinical diagnostics with massive real-world potential.

      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](https://newatlas.com/medical/ai-colonoscopy-inexperienced-doctors/?itm_source=newatlas&itm_medium=article-body) in identifying the precursors of colon cancer, diagnose [childhood autism](https://newatlas.com/medical/retinal-photograph-ai-deep-learning-algorithm-diagnose-child-autism/?itm_source=newatlas&itm_medium=article-body) from eye images, and predict in real-time whether a surgeon has [removed all cancerous tissue](https://newatlas.com/medical/ai-model-improves-cancer-tumor-removal-during-breast-surgery/?itm_source=newatlas&itm_medium=article-body) during breast cancer surgery. But Med-Gemini is something else.

    2. Expensive-Bed-8121 on

      „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“

      The scope of its use is clearly defined. This is just a win!

    3. Replacing doctors with AI would be a huge win for humanity, but of course all of the ignorant reddit luddites will scream about jobs.

    4. Early results indicate the AI has over 10,000 ways to tell a patient they need to eat less and move more. 

    5. bigbearandy on

      Identifying co-morbidities is just pure data science, adding a RAG component to an LLM isn’t really that impressive. We used to do this with inference engines and last-gen AI decades ago. It takes a lot more than a PR puff piece on something you did in a lab to market into the medical space, something to date that Google itself has found no success in, despite purchasing an entire hospital system just to get data to build from.

      Google has almost two dozen futurists working for them, but I haven’t yet heard of one who successfully helped them crack into this space.

    6. gNeiss_Scribbles on

      This is VERY exciting. I don’t take care who is better but I love that they’re competing and getting better overall! I also love that they’re focusing on medical AI! So much potential to actually help people! I needed a little good news!

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