Artificial Intelligence to Enhance Precision Medicine in Cardio-Oncology: A Scientific Statement From the American Heart Association.

Journal: Circulation. Genomic and precision medicine
PMID:

Abstract

Artificial intelligence is poised to transform cardio-oncology by enabling personalized care for patients with cancer, who are at a heightened risk of cardiovascular disease due to both the disease and its treatments. The rising prevalence of cancer and the availability of multiple new therapeutic options has resulted in improved survival among patients with cancer and has expanded the scope of cardio-oncology to not only short-term but also long-term cardiovascular risks resulting from both cancer and its treatments. However, there is considerable heterogeneity in cardiovascular risk, driven by the nature of the malignancy as well as each individual's unique characteristics. The use of novel therapies, such as targeted therapies and immune checkpoint inhibitors, across multiple cancer groups has also broadened the populations among which cardiotoxicity has become an important consideration of therapy. Therefore, the ability to understand and personalize cardiovascular risk management in patients with cancer is a key target for artificial intelligence, which can deduce and respond to complex patterns within the data. These advances necessitate an overview of established biomarkers of risk, spanning advanced imaging, diagnostic testing, and multi-omics, the evidence supporting their use, and the proven and proposed role of artificial intelligence in refining this risk to attain greater precision in risk prediction and management in cardio-oncologic care.

Authors

  • Rohan Khera
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Aarti H Asnani
  • Jacob Krive
    Department of Biomedical and Health Information Sciences University of Illinois at Chicago Chicago, IL United States.
  • Daniel Addison
  • Han Zhu
    College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China.
  • Alexi Vasbinder
  • Matthew R Fleming
  • Rima Arnaout
  • Pedram Razavi
    Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Tochukwu M Okwuosa