AI Predicts Melanoma Risk Five Years Early

Researchers at the University of Gothenburg have developed AI models capable of identifying individuals at high risk for melanoma ^[1]. The study utilized routine health registry data to analyze specific medical patterns that often precede a clinical diagnosis ^[1][2]. According to the results, the system achieved 73% accuracy in predicting cases up to five years before they occurred ^[1][3]. This breakthrough suggests that health systems could use existing digital records to prioritize screenings for vulnerable patients. By identifying risk factors early, medical professionals may catch skin cancer when it is most treatable ^[2]. The study highlights the growing role of machine learning in preventive medicine and long-term patient monitoring ^[3].