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Leveraging ChatGPT in cardiogeriatrics.
Barbara Antonazzo1, Vassilios S Vassiliou2,3, Attilio Lauretti4
1Division of Geriatrics, Israelite Hospital, Rome, Italy.
Minerva Cardiology and Angiology
|March 7, 2025
Summary
Artificial intelligence (AI), including large language models (LLMs), offers significant potential for improving cardiovascular disease care in older adults. AI can enhance diagnosis, treatment planning, and medication management for complex geriatric patients.
Area of Science:
- Cardiology
- Geriatrics
- Artificial Intelligence
Background:
- Healthcare is increasingly integrating artificial intelligence (AI) for medical practice.
- Cardiovascular disease (CVD) prevention, diagnosis, and treatment in older patients are key areas for AI application.
- Elderly patients often have complex health profiles and comorbidities, necessitating advanced care strategies.
Purpose of the Study:
- To explore the potential of AI, specifically large language models (LLMs) like ChatGPT, in enhancing cardiovascular care for elderly patients.
- To identify how AI can assist in diagnosis, treatment planning, and medication management for cardiogeriatric patients.
- To outline the requirements and challenges for successful AI implementation in cardiogeriatrics.
Main Methods:
- Review of current AI capabilities and applications in healthcare, with a focus on LLMs.
- Analysis of AI's potential benefits in managing complex geriatric conditions, such as polypharmacy and therapeutic inertia.
- Discussion of technological, infrastructural, and ethical considerations for AI integration.
Main Results:
- AI tools, such as ChatGPT, can analyze extensive data to provide personalized, evidence-based recommendations for elderly patients.
- AI can support clinicians in managing polypharmacy by identifying drug interactions and optimizing medication regimens.
- AI can help overcome therapeutic inertia by prompting timely treatment adjustments for cardiovascular interventions.
Conclusions:
- AI holds significant potential to enhance cardiovascular care for older adults by improving communication, diagnosis, and treatment planning.
- Successful implementation requires robust infrastructure, EHR integration, and careful attention to ethical and privacy concerns.
- Collaboration between technologists and healthcare professionals is crucial to realize AI's full benefits in cardiogeriatrics.
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