Raw LLM Responses

There are a lot of legit articles out there these days. A professor at the University of Florida developed a Convolutional neural network, type of AI, that is able to diagnose/grade osteoarthritis in knee x-rays. However, the program is only correct around 60% of the time when compared to a radiologist's analysis. I like that you brought up the fact that although there are programs out there today, they are still not reliable enough as a standalone. The hardware needs to catch up with the software, and that's why a lot of big companies like Intel and Uber are investing in AI chip manufacturers, these specialized processors with architectures similar to the human brain, which would aide in progressing AI to a point where it could potentially be a standalone entity. Also imaging needs to get better, in a lot of ways MRIs, cat scans, and x-rays are insufficient. Either our understanding of the images generated needs to improve or we need to develop a new way of noninvasive imaging. Am PhD student studying computer aided diagnoses in biomedical engineering, so it's very exciting seeing all this increased interest in this application of AI.