ArticleFrontiers in medicine2026
The double-edged sword of generative AI in dermatology: a multi-component cross-sectional study on physician burnout, patient satisfaction, and communication quality.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Generative artificial intelligence (GenAI), particularly large language models (LLMs), is rapidly integrating into clinical settings. However, its net effect on dermatological practice remains poorly defined. This study investigates the dual impact of GenAI on clinician-patient communication using a multi-component data approach. Methods: We conducted an exploratory multi-component cross-sectional study from February 2025 to January 2026 in the dermatology departments of two tertiary hospitals in China. This study included physician surveys ( Results: Physician GenAI use frequency was associated with lower emotional exhaustion (r_s = -0.692, Conclusion: These exploratory findings suggest that GenAI-assisted preparation was associated with stronger information organization and communicative efficiency in dermatology, while not automatically improving empathic or humanistic communication. GenAI should therefore be positioned as a supervised supportive tool rather than as a replacement for clinical judgment or relational care.
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