Artificial intelligence across the cancer care continuum

Cancer, 2025

Plain-language summary

This review surveys how artificial intelligence is being applied across the full span of cancer care, from risk assessment and early detection through treatment, survivorship, and end-of-life care. It describes AI tools that combine data sources such as multi-omics and electronic health records to personalize prevention, improve medical imaging and pathology interpretation, and refine treatment and radiation planning, while noting that clinical adoption depends on rigorous validation, data privacy, and reducing bias. The authors emphasize that AI works best alongside clinical expertise and that responsible development and clinician education are essential.

Read the full paper (DOI: 10.1002/cncr.70050).

This is a plain-language summary written for discoverability; the authoritative version is the published paper. Part of Travis Osterman's peer-reviewed publications.