David Dellamonica, David Ruau, Ben Griffiths, Greg Rossi, Bob T. Li, Pedram Razavi, Tommasa Maio, T. González, Amanda Remorino, Jorge S. Reis‐Filho, Philippe Menu, Thorsten Gutjahr, Adrien Moucquot, Tom Diethe, Hassan Naqvi, Ross Muken, Pablo Azcue
Abstract Multimodal artificial intelligence (MMAI) is redefining oncology by integrating heterogeneous datasets from diagnostic modalities into cohesive analytical frameworks for more accurate and personalized cancer care. We highlight MMAI applications across the patient journey and clinical research, discuss outstanding challenges, and the need for guidelines and regulatory frameworks. By converting multimodal complexity into clinically actionable insights, MMAI is poised to improve patient outcomes while reshaping the economics of global cancer care.