ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2025
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Prediction of Cancer Treatment-Induced Cardiotoxicity.
Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Participatory Design of AI-Based Clinical Decision Support Systems: Scoping Review.JMIR medical informatics · 2026Article
- Living beyond survival: Experiences of self-management among long-term breast cancer survivors - A qualitative study.International journal of nursing studies advances · 2026Article
- Review
- From data to decision: a clinical pipeline for wearable AI in early cardiotoxicity detection.Cardio-oncology (London, England) · 2026Review
- Effectiveness of self-management interventions in managing cancer therapy-induced cardiotoxicity in cancer survivors: a systematic review protocol.Systematic reviews · 2026Article
- Exploring healthcare professionals' experiences and perceptions of self-management of cancer therapy-induced cardiotoxicity in breast cancer survivors: a qualitative study.Cardio-oncology (London, England) · 2026Article
- Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026Article
- Assessing the User Experience of an LLM-Based Conversational Assistant in Diabetes Mellitus Care.Journal of healthcare informatics research · 2026Article
- Multimodal Sensing and Modeling of Endocrine Therapy Adherence in Breast Cancer Survivors.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2025Article
- Artificial intelligence-integrated wearable biomedical devices for cancer management.Journal of the National Cancer Center · 2025Review
- From Mutation to Prognosis: AI-HOPE-PI3K Enables Artificial Intelligence Agent-Driven Integration of PI3K Pathway Data in Colorectal Cancer Precision Medicine.International journal of molecular sciences · 2025Article
- AI and Smart Devices in Cardio-Oncology: Advancements in Cardiotoxicity Prediction and Cardiovascular Monitoring.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Despite recent advances in cancer treatments that prolong patients' lives, treatment-induced cardiotoxicity (i.e., the various heart damages caused by cancer treatments) emerges as one major side effect. The clinical decision-making process of cardiotoxicity is challenging, as early symptoms may happen in non-clinical settings and are too subtle to be noticed until life-threatening events occur at a later stage; clinicians already have a high workload focusing on the cancer treatment, no additional effort to spare on the cardiotoxicity side effect. Our project starts with a participatory design study with 11 clinicians to understand their decision-making practices and their feedback on an initial design of an AI-based decision-support system. Based on their feedback, we then propose a multimodal AI system, CardioAI, that can integrate wearables data and voice assistant data to model a patient's cardiotoxicity risk to support clinicians' decision-making. We conclude our paper with a small-scale heuristic evaluation with four experts and the discussion of future design considerations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.