"There's A Dark Secret At The Heart Of Artificial Intelligence: No One Really Understands How It Works" - Will Knight
In 2015, a research group at the Icahn School of Medicine at Mount Sinai was inspired to apply “deep learning” to the hospital’s vast database of patient records. They built a program called Deep Patient. Without any expert instruction, Deep Patient discovered patterns hidden in the hospital data that seemed to indicate when people were on the way to a wide range of ailments, including cancer of the liver and schizophrenia. There are a lot of methods that are “pretty good” at predicting disease from a patient’s records, says Joel Dudley, PhD, director of biomedical informatics at the Icahn School of Medicine at Mount Sinai, who leads the Mount Sinai team. But, he adds, “This was just way better.”
- Joel Dudley, PhD, Associate Professor, Medicine, Genetics and Genomic Sciences, Population Health Science and Policy, Director, Biomedical Informatics, Icahn School of Medicine at Mount Sinai, Director, Institute for Next Generation Healthcare
Mount Sinai and Hasso Plattner Institute Launch New Institute for Digital Health
Mar 29, 2019 View All Press Releases