Artificial intelligence in cancer diagnostics: a primer for clinicians and scientists
AI tools are entering cancer diagnosis and prognosis work, but require careful validation and clear implementation guidance for clinical teams.
This NCI-authored primer in JNCI provides a structured overview of AI applications in cancer diagnostics — from digital pathology and radiomics to liquid biopsy analytics — addressing both technical capabilities and implementation challenges for clinical teams. The commentary spans AI-driven prognostication through therapy selection and real-time monitoring, offering practical guidance for responsible integration of AI tools in oncology.
What the study was
- Study design
- Educational review/primer
- Population
- Oncologists, pathologists, clinical researchers, healthcare technologists
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- Journal of the National Cancer Institute
Why it surfaced
NCI-authored AI cancer diagnostics primer in JNCI; high authority source covering liquid biopsy + digital pathology AI; directly on AI/ML watchlist.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.