5 barriers to recognizing the full potential of deep learning

Deep learning is an important element of AI that's helping advance diagnostics and treatment, but it also remains relatively uncharted territory. The most successful applications of the tech to date have been in medical imaging, first author Fei Wang, PhD, and colleagues at Weill Cornell Medicine in New York, wrote in JAMA Internal Medicine. Other applications of the AI tech are vast, but scientists are still facing significant barriers. "The potential of deep learning to disentangle complex, subtle discriminative patterns in images suggests that these techniques may be useful in other areas of medicine," Wang and co-authors said. "Substantial challenges must be addressed, however, before deep learning can be applied more broadly."