Artificial Intelligence to Enhance Precision Medicine in Cardio-Oncology: A Scientific Statement From the American Heart Association
Why the study?
Heterogeneity in cardiovascular risk and expanding cancer therapies necessitate an overview of established biomarkers and the role of artificial intelligence in refining personalized cardio-oncologic care.
Design
Scientific statement
Authors
Discussion
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Member takes
Implication
May support AI exploration in cardio-oncology; leaves open prospective validation before any practice change.
Key Points
- To outline the role of artificial intelligence in synthesizing multi-modal biomarkers and personalizing cardiovascular risk prediction and management for patients undergoing cancer therapy.
- American Heart Association expert consensus evaluating the cardiovascular impact of novel cancer treatments, including targeted therapies and immune checkpoint inhibitors.
- Review and synthesis of evidence supporting clinical biomarkers from advanced cardiac imaging, diagnostic testing, and multi-omics integrated with computational models.
- Highlights substantial heterogeneity in cardiovascular risk driven by individual patient factors and exposure to emerging oncologic drug classes.
- Demonstrates that artificial intelligence can process complex, high-dimensional datasets across imaging and multi-omics to refine individualized risk stratification in cardio-oncologic care.
Structured PICO
P
Population
Patients with cancer at risk of cardiovascular disease due to the disease and its treatments
I
Intervention
Artificial intelligence applications for precision medicine and risk prediction
This AHA scientific statement highlights the potential of artificial intelligence to enhance precision medicine and personalize cardiovascular risk management in cardio-oncology.
Cite This Study
Khera et al. (2025) studied this question. Artificial intelligence is essential for personalizing cardiovascular risk management in cancer patients, improving care through refined risk prediction and management.