Celine M Schreidah, Emily R Gordon, Oluwaseyi Adeuyan, Caroline Chen, Brigit A Lapolla, Joshua A Kent, George Bingham Reynolds, Lauren M Fahmy, Chunhua Weng, Nicholas P Tatonetti, Herbert S Chase, Itsik Pe'er, Larisa J Geskin
Skin cancer mortality rates continue to rise, and survival analysis is increasingly needed to understand who is at risk and what interventions improve outcomes. However, current statistical methods are limited by inability to synthesize multiple data types, such as patient genetics, clinical history, demographics, and pathology and reveal significant multimodal relationships through predictive algorithms. Advances in computing power and data science enabled the rise of artificial intelligence (AI), which synthesizes vast amounts of data and applies algorithms that enable personalized diagnostic approaches...
2024: Frontiers in Medicine