Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review.
Avirup Guha1,2, Viraj Shah3,4, Tarek Nahle3,4
1Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA. aguha@augusta.edu.
Current Cardiology Reports
|February 19, 2025
Summary
Artificial intelligence (AI) enhances cardio-oncology by improving diagnosis and risk prediction for cardiovascular complications in cancer patients. Addressing data and ethical challenges is key for AI
Area of Science:
- Cardio-oncology
- Artificial Intelligence
- Biomarker Discovery
Background:
- Cardiovascular complications are a significant concern for cancer patients.
- Early detection and management of cardiotoxicity are crucial for improving patient outcomes.
Purpose of the Study:
- To review the role and applications of AI in cardio-oncology.
- To explore AI's impact on diagnosis, prognosis, risk stratification, and management of cardiovascular issues in cancer patients.
- To highlight advancements and challenges in AI for cardio-oncology.
Main Methods:
- Review of current literature on AI applications in cardio-oncology.
- Analysis of AI's use with imaging, electronic health records (EHRs), electrocardiograms (ECG), and multi-omics data.
- Discussion of challenges such as data heterogeneity and ethical concerns.
Main Results:
- AI leverages diverse data sources (imaging, EHRs, ECG, multi-omics) for early cardiotoxicity detection and risk prediction.
- Novel AI-ECG models and imaging techniques enhance diagnostic accuracy.
- Multi-omics analysis aids in identifying biomarkers for personalized cancer patient treatment.
- AI shows significant potential in early detection and intervention strategies.
Conclusions:
- AI significantly advances cardio-oncology by improving early detection and intervention for cardiovascular complications.
- Addressing data heterogeneity, transparency, and ethical concerns is vital for AI adoption.
- Future research should focus on AI's clinical impact and ethical considerations to enhance patient care.
Keywords:
Artificial intelligenceCardio-oncologyCardiotoxicityDeep learningMachine learningPersonalized medicineMore Related Videos
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