The article discusses the growing integration of artificial intelligence (AI) in the medical profession, raising concerns about the potential threat to medical expertise. The authors highlight that while AI has rapidly entered the medical field, its impact on the profession has not been thoroughly evaluated. They compare this situation to a recent legal case where authors sued OpenAI for using their works to train AI models. Similarly, physicians are voluntarily sharing their knowledge with AI systems, which may lead to a loss of essential skills if pathologists no longer evaluate basic histological elements themselves. The authors emphasize that AI can perform tasks quickly and accurately, but its performance is based on data derived from expert knowledge. They use kidney pathology as an example, noting that AI is being used to analyze tissue specimens, potentially leading to a shift in how pathologists work. However, this shift may result in a loss of fundamental histological understanding, as AI-generated data may not account for the complex pathogenic processes involved. The article also discusses the potential for AI to become the standard in areas where expert pathologists are not available, leading to a future where AI-driven pathology is widely used. While AI can provide consistent and unbiased results, it may also introduce new challenges, such as the lack of understanding of the underlying biological processes. The authors argue that without proper regulation, the medical profession may lose its intellectual depth and focus on intervention strategies rather than understanding disease mechanisms. The authors call for careful consideration of the role of AI in medicine, emphasizing the need for regulations to ensure that AI is used responsibly and that the medical profession remains at the forefront of medical knowledge and innovation.The article discusses the growing integration of artificial intelligence (AI) in the medical profession, raising concerns about the potential threat to medical expertise. The authors highlight that while AI has rapidly entered the medical field, its impact on the profession has not been thoroughly evaluated. They compare this situation to a recent legal case where authors sued OpenAI for using their works to train AI models. Similarly, physicians are voluntarily sharing their knowledge with AI systems, which may lead to a loss of essential skills if pathologists no longer evaluate basic histological elements themselves. The authors emphasize that AI can perform tasks quickly and accurately, but its performance is based on data derived from expert knowledge. They use kidney pathology as an example, noting that AI is being used to analyze tissue specimens, potentially leading to a shift in how pathologists work. However, this shift may result in a loss of fundamental histological understanding, as AI-generated data may not account for the complex pathogenic processes involved. The article also discusses the potential for AI to become the standard in areas where expert pathologists are not available, leading to a future where AI-driven pathology is widely used. While AI can provide consistent and unbiased results, it may also introduce new challenges, such as the lack of understanding of the underlying biological processes. The authors argue that without proper regulation, the medical profession may lose its intellectual depth and focus on intervention strategies rather than understanding disease mechanisms. The authors call for careful consideration of the role of AI in medicine, emphasizing the need for regulations to ensure that AI is used responsibly and that the medical profession remains at the forefront of medical knowledge and innovation.