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 confident that radiologists’ creative work will be necessary in the future to solve complex issues and supervise diagnostic processes, A.I. 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 familiarise ourselves with how it could help change the course of radiology for the better. Radiologists who use A.I. 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 toward the fact that A.I. will completely move the world of medicine. As deep learning algorithms and narrow A.I. started to buzz especially around the field of medical imaging, many radiologists went into panic mode. 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 experts saying that A.I. would replace radiologists is looking at radiologists as if they were just looking at pictures. That would be me saying while I look at programmers, all they do is typing, so we can replace a programmer with a speech recognition system, he added. Langlotz compared the situation to that of the autopilot in aviation. The innovation did not replace real pilot...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: Future of Medicine AI artificial intelligence cancer Health Healthcare ibm watson Innovation MRI Radiology technology gc4 medical imaging CT scanning Source Type: blogs