A collaborative study led by Karolinska Institutet and Yale University demonstrates that artificial intelligence significantly improves pathologists’ accuracy and consistency in assessing tumor-infiltrating lymphocytes in skin cancer biopsies. The AI-assisted analysis aids critical diagnostic decisions and could facilitate more precise prognostication and treatment planning in oncology. This advancement exemplifies the growing integration of machine learning tools in pathology to augment expert interpretations and improve patient outcomes.