A collaborative study between Karolinska Institutet and Yale University demonstrates that artificial intelligence assistance significantly improves pathologists’ accuracy and reproducibility in evaluating tumor-infiltrating lymphocytes (TILs) within skin cancer tissue samples. This advancement may bolster diagnostic precision, influence therapeutic decisions, and ultimately enhance patient outcomes by standardizing assessments of immune infiltrates, an important prognostic and predictive biomarker in oncology.