Developing AI algorithms that are more “human-centered” is a key goal in the field of radiology. A recent study conducted by researchers in Lisbon, Portugal, suggests that integrating eye-tracking data into deep learning AI algorithms could be the solution. By mapping how radiologists interpret x-rays through eye-gaze data, these algorithms can become more interpretable and transparent in their decision-making processes.… Read the rest
Integrating Eye-Tracking Data for Improved Interpretation of X-Rays
