Rule-Based AI vs. Machine Learning for Development - Which is Best? - AI Trends

A variation of the problems posed by black-box decision-making is the experience of researchers at Mount Sinai Hospital in New York, in applying a learning system to the hospitals' database of records on some 700,000 individuals. The resulting learning system, called Deep Patient, turned out to be very good at predicting disease. It even appeared to anticipate the onset of psychiatric disorders like schizophrenia, which is difficult for physicians to predict, quite well. "Deep Patient offers no clue as to how it does this," say the authors, referencing Joel Dudley, former leader of the Mount Sinai team, now chief scientific officer at Tempus Labs, which advances precision medicine through the practical application of AI in healthcare.