Application of deep learning and explainable AI-supported medical decision-making for facial phenotyping in genetic syndromes
This study found that while both AI predictions and explainable AI (XAI) saliency maps improved diagnostic accuracy when the AI was correct, medical geneticists relied more heavily on the raw prediction probabilities than on XAI explanations, which were viewed less favorably and failed to significantly enhance decision-making integration.