Explainability of artificial intelligence (AI) tools in assisted reproductive technologies (ARTs): promise, clinical reality, and conceptual limits

The authors investigate the role of explainability in artificial intelligence (AI) tools used in assisted reproductive technologies (ARTs), questioning whether explainability is essential for clinical AI systems. They argue that the value of explainability is context-dependent and should be considered alongside other factors such as validation and clinical impact, advocating for a pragmatic approach to AI integration in medicine. Through their analysis, they aim to clarify the distinctions between interpretability, explainability, and transparency in the context of ART.