Artificial Intelligence in Cardio-Oncology and Cardiovascular Health

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 11

Special Issue Editor


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Guest Editor
Medical College of Wisconsin, Milwaukee, WI, USA
Interests: cardiology; cardiotoxicity; cardio-oncology; cardiovascular health; personalized medicine tools; precision cardiovascular medicine

Special Issue Information

Dear Colleagues,

The convergence of artificial intelligence (AI) and bioengineering has ushered in a new era in the management and treatment of cardiovascular diseases and cancer, particularly in the emerging field of cardio-oncology. As cancer patients often experience cardiovascular complications due to the direct effects of malignancies and their treatments, the integration of AI in cardio-oncology provides an unprecedented opportunity to enhance patient outcomes. AI technologies, including machine learning and deep learning, facilitate the analysis of vast datasets from various sources, enabling researchers and clinicians to identify patterns, predict outcomes, and tailor therapies in a more personalized manner.

AI-driven approaches can significantly enhance the detection, diagnosis, and management of cardiovascular issues in cancer patients. For instance, predictive algorithms can analyze electronic health records (EHRs), imaging data, and genomic information to identify patients at risk of treatment-related cardiotoxicity. Moreover, AI models can assist in the real-time monitoring of cardiovascular status, empowering healthcare providers to intervene early and mitigate serious complications. In this context, AI not only provides the tools for predictive analytics but also enhances the decision-making processes in clinical practice.

The intersection of AI and cardiovascular health extends beyond oncology. The growing prevalence of cardiovascular diseases necessitates innovative solutions for prevention, diagnosis, and management. AI can optimize the design of interventions, improve patient engagement through wearable technology, and enhance adherence to treatment regimens.

This Special Issue aims to collect original research articles, reviews, and case studies that highlight the latest advancements, applications, and challenges of AI within the realms of cardio-oncology and cardiovascular health. By bringing together experts from various disciplines, we aspire to foster a comprehensive dialogue on the future of AI in revolutionizing care for patients with cardiovascular conditions and malignancies.

Dr. Sherry Ann Brown
Guest Editor

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Keywords

  • artificial intelligence
  • cardio-oncology
  • cardiovascular health
  • machine learning
  • personalized medicine
  • cardiovascular toxicity

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Published Papers

This special issue is now open for submission.
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