Multidisciplinary innovation is reshaping cancer care. This panel explores the evolving role of AI and clinical collaboration across the oncology pathway—from screening and diagnosis to treatment planning and follow-up. Focusing on radiology, the session highlights real-world teamwork, decision support, and future opportunities. Experts will discuss how AI and collaboration transform workflows and help shape the radiologist’s role in precision oncology.
Learning objectives: Identify current AI and collaboration models; understand implementation challenges; define evolving clinical roles; evaluate ethical, regulatory, and practical implications.
Learning objectives: Identify current AI uses; understand integration challenges; discuss the evolving radiologist role; evaluate ethical, regulatory, and practical considerations.
AI in Cancer Care – Current Realities & Future Horizons
Anwar R. Padhani, Northwood / United Kingdom
Sophia Zackrisson, Malmö / Sweden
Katja Pinker-Domenig, New York / United States
Adrian K. P. Lim, London / United Kingdom
Identify current AI uses; understand integration challenges; discuss the evolving radiologist role; evaluate ethical, regulatory, and practical considerations.