The Future of Radiology and Artificial Intelligence

What if an algorithm could tell you whether you have cancer based on your CT scan or mammography exam? While I am certain that radiologists’ creative work will be necessary in the future to solve complex issues and supervising diagnostic processes; AI will definitely become part of their daily routine in diagnosing simpler cases and taking over repetitive tasks. So rather than getting threatened by it, we should familiarize with how it could help change the course of radiology for the better. Radiologists who use AI will replace those who don’t There is a lot of hype and plenty of fear around artificial intelligence and its impact on the future of healthcare. There are many signs pointing towards the fact that AI will completely move the world of medicine. As deep learning algorithms and narrow AI started to buzz especially around the field of medical imaging, many radiologists went into panic mode. In his presentation at the GPU Tech Conference in San Jose in May 2017, Curtis Langlotz, Professor of Radiology and Biomedical Informatics at Stanford University, mentioned how he received an e-mail from one of his students saying he was thinking about going into radiology but does not know whether it is a viable profession anymore. But the assumption that the radiologist profession is dying, is just plain wrong. Bradley Erickson, Director of the Radiology Informatics Lab at Mayo Clinic told me that some of the hype we hear from some of the machine learning and deep learning ...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: Future of Medicine Radiology AI artificial intelligence cancer CT scanning gc4 Health Healthcare ibm watson Innovation medical imaging MRI technology Source Type: blogs