New approach can advance medical AI algorithms, reduce risks to patient privacy Within the field of artificial intelligence (AI), deep learning is an area of rapid and high-impact innovation in the healthcare industry. Being able to successfully train computers to perform medical tasks has extraordinary potential to improve patient care, increase access, and reduce costs. Researchers at UCLA have already developed AI systems that have had significant value in helping physicians more accurately detect cancers. However, one major challenge in developing high-quality AI algorithms is the availability of data and patient privacy. Sharing medical data, even de-identified medical data, may pose some risk to the privacy of patients, and protecting patient privacy is one of the main ethical directives of the medical profession.