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Unless the AI can talk tot the patient to get some context, it's going to be taking decisions with only very partial information, no matter how good it is. Sti

Unless the AI can talk tot the patient to get some context, it's going to be taking decisions with only very partial information, no matter how good it is. Still, I'm thinking that as it improves, it's going to show that doctors are not that good at their job on average, and that's going to be fun to watch.

bayesian_horse 5y ago
Medical ML is not about making decisions but about informing decisions. It is a tool for the doctor, not a replacement.
- BiteCode_dev 5y ago
  That's what it should be, that's not how it's being sold, and how it's going to be used. Just like for wikipedia.
- eduramiba 5y ago
  I think AI should always be a support tool, but people are always talking about replacing doctors... And a high volume if diverse quality data is fundamental: https://en.capillary.io/posts/ai-medical-diagnosis-guide/ https://en.capillary.io/posts/ai-medical-diagnosis-guide/
  - delfinom 5y ago
    >I think AI should always be a support tool, but people are always talking about replacing doctors... Because Americans are trying to solve their healthcare crisis by attacking the doctors and literally not the entire rest of the industry which controls the spiraling healthcare costs. The end of result if we manage to eliminate doctors is still spiraling out of control healthcare.
PeterisP 5y ago
Radiologists aren't talking to the patient either and don't have earlier scans available, they "just" comment on the image; so the doctor who does have the patient, their history and the radiology report(s) might as well receive the report from a ML system instead of a human radiologist.
- zepto 5y ago
  That’s how it is in the US, and it’s terrible. In other places, e.g. Mexico, India, the radiologist can very much be talking to the patient, and can have information from earlier scans.
unsrsly 5y ago
> Still, I'm thinking that as it improves, it's going to show that doctors are not that good at their job on average, and that's going to be fun to watch. Medical AI is trained on labels generated by doctors. Can you explain how it will exceed the performance of doctors on average? Are you assuming that the labels will be generated by the "top x%" of doctors? If so, how will you identify those individuals? Or is there some other mechanism you're expecting to improve the performance?

bayesian_horse 5y ago

Medical ML is not about making decisions but about informing decisions. It is a tool for the doctor, not a replacement.

BiteCode_dev 5y ago
That's what it should be, that's not how it's being sold, and how it's going to be used. Just like for wikipedia.
eduramiba 5y ago
I think AI should always be a support tool, but people are always talking about replacing doctors... And a high volume if diverse quality data is fundamental: https://en.capillary.io/posts/ai-medical-diagnosis-guide/ https://en.capillary.io/posts/ai-medical-diagnosis-guide/
- delfinom 5y ago
  >I think AI should always be a support tool, but people are always talking about replacing doctors... Because Americans are trying to solve their healthcare crisis by attacking the doctors and literally not the entire rest of the industry which controls the spiraling healthcare costs. The end of result if we manage to eliminate doctors is still spiraling out of control healthcare.

PeterisP 5y ago

Radiologists aren't talking to the patient either and don't have earlier scans available, they "just" comment on the image; so the doctor who does have the patient, their history and the radiology report(s) might as well receive the report from a ML system instead of a human radiologist.

zepto 5y ago
That’s how it is in the US, and it’s terrible. In other places, e.g. Mexico, India, the radiologist can very much be talking to the patient, and can have information from earlier scans.

unsrsly 5y ago

> Still, I'm thinking that as it improves, it's going to show that doctors are not that good at their job on average, and that's going to be fun to watch. Medical AI is trained on labels generated by doctors. Can you explain how it will exceed the performance of doctors on average? Are you assuming that the labels will be generated by the "top x%" of doctors? If so, how will you identify those individuals? Or is there some other mechanism you're expecting to improve the performance?