Hallmarks of artificial intelligence contributions to precision oncology.

Journal: Nature cancer
Published Date: Mar 7, 2025

Abstract

The integration of artificial intelligence (AI) into oncology promises to revolutionize cancer care. In this Review, we discuss ten AI hallmarks in precision oncology, organized into three groups: (1) cancer prevention and diagnosis, encompassing cancer screening, detection and profiling; (2) optimizing current treatments, including patient outcome prediction, treatment planning and monitoring, clinical trial design and matching, and developing response biomarkers; and (3) advancing new treatments by identifying treatment combinations, discovering cancer vulnerabilities and designing drugs. We also survey AI applications in interventional clinical trials and address key challenges to broader clinical adoption of AI: data quality and quantity, model accuracy, clinical relevance and patient benefit, proposing actionable solutions for each.

Authors

  • Tian-Gen Chang
    Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. tiangen.chang@nih.gov.
  • Seongyong Park
    Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Korea.
  • Alejandro A Schäffer
    Cancer Data Science Laboratory (CDSL), National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Peng Jiang
    Department of Joint Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong 250021, China.
  • Eytan Ruppin
    Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA. eytan.ruppin@nih.gov.

Keywords

External Resources

Popular Topics
Recent Journals