Artificial intelligence (AI) has shown the ability to detect early risk patterns in individuals with a higher likelihood of developing melanoma, as per a recent study. The research, based on comprehensive registry data from Sweden’s adult population, analyzed factors such as age, sex, diagnoses, medication use, and socioeconomic status. Out of over 6 million individuals studied, 0.64 percent developed melanoma over a five-year period.
The study’s findings indicate that existing healthcare data can effectively pinpoint individuals at an elevated risk of melanoma, according to Martin Gillstedt, a doctoral student at the University of Gothenburg’s Sahlgrenska Academy. By utilizing a combination of diagnoses, medication records, and sociodemographic information, the most advanced AI model successfully identified small, high-risk groups with a 33 percent likelihood of developing melanoma within five years.
Researchers noted that integrating AI models trained on extensive registry data could enhance personalized risk assessments and future screening strategies for melanoma. While further research and policy considerations are necessary before implementation in healthcare settings, the study underscores the potential of AI in refining risk assessment and screening approaches for melanoma.
