Integration of AI into clinical practices is very challenging, especially in radiology. While AI has proven to enhance the accuracy of diagnosis, its “black-box” nature often erodes clinicians’ confidence and acceptance. Current clinical decision support systems (CDSSs) are either not explainable or use methods like saliency maps and Shapley values, which do not give clinicians […]
The post This AI Paper from UCLA Unveils ‘2-Factor Retrieval’ for Revolutionizing Human-AI Decision-Making in Radiology appeared first on MarkTechPost.
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