6 things that could help advance AI adoption in radiology - Watson Health Perspectives

Radiology has always been on the cutting edge of technology in medicine, and artificial intelligence (AI) has made some progress within this specialty. But AI is at an inflection point. To make use of AI as a more accessible, trusted reality, radiology will need six critical components: 1) Reassurance that AI will never replace a physician With the growing body of evidence that shows the extraordinary potential of AI in healthcare, I find it interesting that widespread adoption remains slow. Although I hear multiple reasons for the reluctance of radiologists to embrace AI, one of the most common that I hear is the misperception that AI is going to put us radiologists out of business. This simply isn’t realistic. At the end of the day, algorithms address technology; radiologists take care of people, with all the inherent responsibilities, nuances and complexities. Algorithms aren’t designed to do that. However, It’s also increasingly unrealistic to expect radiologists to manage…