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Google Med-Palm M: Towards Generalist Biomedical AI

arxiv.org

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Re: Google Med-Palm M: Towards Generalist Biomedical AI

#7

Post by versteegen »

n0lan wrote: post #3

All being said and done with respect to AI in medicine, Doctors and medical professionals will be the very last people to be replaced. Care (both physical and mental) will be the last bastion of humanity disrupted by AI.

Why?

Medical practice is very knowledge intensive, especially general practice. Very prone to human error, have you seen the stats on accidental deaths in hospitals? Excellent high-value use for (future) learning systems which can ingest and apply a large body of knowledge and reason in the face of a huge poorly understood graph of causal factors.

No, the last people to be replaced will be those doing unpaid labour, such as parenting, household chores, unpaid elder care: there's the least economic incentive to do so. So I do agree in large part with your final sentence.

Re: Google Med-Palm M: Towards Generalist Biomedical AI

#9

Post by versteegen »

permanent wrote: post #8

I won't take any of this seriously until they make their model and weights available. This type of PR research is what is really holding back AI for medical images.

My impression of what's holding back improvements to CV and ML for medical images is that close to none of the research in the field will ever be put into practice. There's a huge amount of research done and then the companies actually producing the software used by technicians and doctors choose a tiny number of things to pick up, incorporate, test, get certified, and it takes years. People working in the field have admitted to me they have few to no hopes.

Re: Google Med-Palm M: Towards Generalist Biomedical AI

#10

Post by permanent »

versteegen wrote: post #9
permanent wrote: post #8

I won't take any of this seriously until they make their model and weights available. This type of PR research is what is really holding back AI for medical images.

My impression of what's holding back improvements to CV and ML for medical images is that close to none of the research in the field will ever be put into practice. There's a huge amount of research done and then the companies actually producing the software used by technicians and doctors choose a tiny number of things to pick up, incorporate, test, get certified, and it takes years. People working in the field have…

I work in this field - IMO, your assessment is correct insofar as the absolute need for commercialization of research done. However, we haven't gotten to the super-human performance for medical images yet. We don't even have the ImageNet-equivalent, nor do we have any open source (or just source & weight available) models that Google and other big corp claim to be so wonderful. Most of people in the field, rightly so, then dismiss anything like Med-Palm M and other PR-like papers from these groups. Why base your career (both academically and product-wise) on this?
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