Year: 2026
Type: editorial
Abstract: Data now shape every stage of cancer control, from risk prediction and screening to diagnosis, treatment and survivorship. Advances in genomics, imaging, electronic health records and patient-generated data have created unprecedented opportunities for data-driven cancer research and care.1 Artificial intelligence (AI) extends this promise across different facets of cancer care, although the evidence remains heterogeneous and concerns about bias, transparency and generalisability persist.2 3 Cancer systems are therefore increasingly data-rich, yet clinicians, researchers and policymakers still struggle to obtain information that is complete, timely, interpretable and trustworthy.
Source: BMJ Oncology
Authors: Yuchen Li, Fabio Y Moraes
Institution: Queen's University
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7224254424