keefemotif t1_j00nwtr wrote on December 13, 2022 at 5:36 AM

First Tier Customer Support, call centers drop exponentially in volume.
Social Media Engagement Management, those semi automated twitter (if it still exists) bots are going to take way less human wranglers.
Low level operational support of software systems "please reboot this thing if it fails, call me if it keeps failing"
Initial evaluation of patient symptoms "have you been experiencing any coughing, nausea, shortness of breath?"

IMHO, the thing is going to be about customizing the model to particular domains, giving it an education so to speak.

Then things will plateau. Many times, exponential progressions follow stacked logistic/sigmoidal models. exponential for a while, then it levels out, then exponential for a while again, zoom out it's all exponential but it won't be, FOOM based on this. It's a really complicated and important neural net that costs a lot to train.

spreadlove5683 t1_j01vyaz wrote on December 13, 2022 at 2:07 PM

Why hasn't AI already taken over radiology?

OralOperator t1_j02fvnz wrote on December 13, 2022 at 4:34 PM

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 on December 13, 2022 at 3:26 PM

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 on December 13, 2022 at 4:44 PM

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 on December 13, 2022 at 5:17 PM

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.