AI Assistance Boosts Consistency, Accuracy During Analysis of Skin Cancer Tissue
A recent study led by researchers at Karolinska Institute, in partnership with Yale University, has shown that artificial intelligence can significantly enhance the work of pathologists when examining skin cancer tissue samples. The use of AI made the assessments more reliable and helped provide a clearer picture of patient outcomes. One of the key factors in analyzing skin cancer, particularly malignant melanoma, is the presence of tumor-infiltrating lymphocytes (TILs). These are immune system cells located around or within tumors and play a crucial role in how the body responds to cancer. A higher count of TILs generally signals a stronger…