With the development of artificial intelligence technology, AI computer-aided diagnosis has found certain applications in the field of dermatology. However, due to the vast variety and complex manifestations of skin diseases, the specific mechanisms underlying AI computer-aided diagnosis in this context still require further exploration. Therefore, this paper, based on the imaging characteristics of skin diseases, elucidates the technical principles of AI computer-aided diagnosis and analyzes the practical application effects of AI in the diagnostic process of skin diseases. This provides new data support and methodological foundations for clinical teaching and research on skin diseases.
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