4 ms·

Most people cite liability as the main reason but I also haven't seen any algorithm that reads chest radiographs better than radiologists. To be fair, rads look

Most people cite liability as the main reason but I also haven't seen any algorithm that reads chest radiographs better than radiologists. To be fair, rads look at images, correlate with the patient chart and symptoms, and that info is not provided to the algorithms. But also, humans need only one or two examples of a weird diagnosis to find it again and that still can't be tackled by one-shot/few shot learning algorithms (yet!). https://towardsdatascience.com/why-ai-will-not-replace-radiologists-c7736f2c7d80 https://towardsdatascience.com/why-ai-will-not-replace-radio... This covers some points, but "never?" I'm not so sure about that... That's why if I can't beat 'em I'm trying to join em

joelbluminator 6y ago
I don't know enough about A.I or radiology but if A.I can drive cars or make investment decisions better than humans I can't see why something as technical as reading photos and recognising patterns can't be done by A.I. Good luck with your research!
- lordlic 6y ago
  The largest system in the human brain is the one responsible for vision. There's a scary amount of computational power involved in a human completing simple-seeming visual tasks, and that's not always easy to reproduce with computer models.