Submitted by Friedrich_Cainer t3_zklrdx in singularity
spreadlove5683 t1_j01vyaz wrote
Reply to comment by keefemotif in Can we guesstimate chatGPTs impact to job market by 2025? by Friedrich_Cainer
Why hasn't AI already taken over radiology?
OralOperator t1_j02fvnz wrote
In dentistry we are just now seeing programs that will analyze all of our radiographs for us using AI.
I’ve seen demos at events but haven’t bought in yet. Eventually it will be the standard of care, I imagine.
TheSecretAgenda t1_j026owk wrote
Radiologists are a rather powerful cabal within healthcare. I used to work for a company that sold equipment to radiologists. By all accounts, they're assholes.
keefemotif t1_j02hdiq wrote
My degree is actually in computational medicine, treatment planning algorithms for radiosurgery. The field moves slow. Already, automation segmentation and registration for tumor detection is doing things we only dreamed of 20 years ago. I've seen studies where deep learning models outperform humans already. There will always be human oversight and it will be another powerful tool like beams eye view dosimetric models. Depending on the system, treatment plans can include NP hard/complete problems, been a while but I think sphere packing and gamma knife comes to mind.
genshiryoku t1_j02mo0h wrote
It has to do with regulation, not ability. Medical field requires a lot of red tape before new technology is allowed. This is actually a good thing because it can be a matter of life or death for a lot of people.
It takes between 20-30 years from technical viability to actual implementation in the medical field. I'd expect the first very serious systems to enter the field in about 10 years time.
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