Making AI models more trustworthy for high-stakes settings

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance, in a chest X-ray, pleural effusion, an abnormal buildup of fluid in the lungs, can look very much like pulmonary infiltrates, which are accumulations of pus or blood.

An artificial intelligence model could assist the clinician in X-ray analysis by helping to identify subtle details and boosting the efficiency of the diagnosis process. But because so many possible…

Continue Reading


News Source: www.sciencedaily.com

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *