Machine Learning in Medicine

Rahul C. Deo, MD, PhD From Cardiovascular Research Institute, Department of Medicine and Institute for Human Genetics, University of California, San Francisco, and California Institute for Quantitative Biosciences, San Francisco. Correspondence to Rahul C. Deo, MD, PhD, Smith Cardiovascular Research Building, 555 Mission Bay Blvd South, Rm 452S, San Francisco, CA 94158. E-mail: rahul.deo{at} Abstract Spurred by advances in processing power, memory, storage, and an unprecedented wealth of data, computers are being asked to tackle increasingly complex learning tasks, often with astonishing success. Computers have now mastered a popular variant of poker, learned the laws of physics from experimental data, and become experts in video games − tasks that would have been deemed impossible not too long ago. In parallel, the number of companies centered on applying complex data analysis…

Link to Full Article: Machine Learning in Medicine

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!