28 min
Using Artificial Intelligence to Improve Healthcare with RAIL Public Health United
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- Science
Dr. Paul Yi and Dr. Haris Sair are both radiologists that co-direct RAIL, the Radiology and Artificial Intelligence Lab, which is a part of the JHU Malone Center for Engineering in Healthcare. The purpose of this lab is to use innovations in machine and deep learning, to advance the field of radiology and improve doctor's caseload. Dr. Paul Yi describes the concept of “transfer learning” that they use in RAIL as “basically using algorithms that were used to train googles algorithms for image recognition, and then we apply that to radiology images.” Listen to the full podcast to learn more about how artificial intelligence is connecting doctors and engineers, also check out our show links at www.publichealthunited.org/podcast.
Dr. Paul Yi and Dr. Haris Sair are both radiologists that co-direct RAIL, the Radiology and Artificial Intelligence Lab, which is a part of the JHU Malone Center for Engineering in Healthcare. The purpose of this lab is to use innovations in machine and deep learning, to advance the field of radiology and improve doctor's caseload. Dr. Paul Yi describes the concept of “transfer learning” that they use in RAIL as “basically using algorithms that were used to train googles algorithms for image recognition, and then we apply that to radiology images.” Listen to the full podcast to learn more about how artificial intelligence is connecting doctors and engineers, also check out our show links at www.publichealthunited.org/podcast.
28 min