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AI Summary: A recent study by researchers at MIT and elsewhere found that explainable AI methods had varying impacts on users' diagnostic accuracy in skin disease diagnosis, depending on their level of expertise. While non-experts' accuracy improved with AI assistance, they often relied too heavily on incorrect explanations, whereas clinicians performed best with minimal explanation. The findings highlight the need for AI systems that account for users' knowledge levels and encourage critical thinking. The study's results have implications for the design of AI systems in healthcare, particularly in disease diagnosis.