Artificial Intelligence in Radiology: The Computer's Helping Hand Needs Guidance

See also the article by Tadavarthi et al in this issue. Evis Sala, MD, PhD, is the professor of oncological imaging at the University of Cambridge, UK and co-leads the Advanced Cancer Imaging Programme and the Integrative Cancer Medicine Programme for the Cancer Research UK Cambridge Centre. Her current research focuses on radiogenomics through multiomics data integration for evaluation of spatial and temporal tumor heterogeneity and on the applications of AI methods for image reconstruction, segmentation, and data integration. Stephan Ursprung, MD, is a 3rd-year PhD student in the department of radiology at the University of Cambridge, UK. His research focuses on the development of AI models for automated segmentation, lesion classification, and treatment response prediction in renal cancer. Dr Ursprung's interests include health information technology, molecular and physiologic imaging, as well as multiomics data integration.