Bridging AI development with clinical relevance—A scoping review of skin cancer models since CLEAR Derm. Where to next?

This article discusses the development of artificial intelligence (AI) algorithms for the diagnosis of skin cancer. The authors conducted a review of peer-reviewed journal publications on this topic and found that while many studies reported technical properties of data and algorithm development, they often lacked critical clinical information. Only 10.4% of the studies complied with the CLEAR Derm guidelines, which raises concerns about the clinical relevance of these AI models. The article proposes a translational framework for successful integration of AI into clinical practice, emphasizing the need for standardization, transparency, and high-quality reporting. The authors also highlight the importance of ethical and legal frameworks and the assessment of AI models for clinical efficacy and safety. [Extracted from the article]