Leveraging ChatGPT in cardiogeriatrics

Abstract

The integration of artificial intelligence (AI) into healthcare is transforming medical practice, and this holds true also for the prevention, diagnosis and treatment of cardiovascular disease in older patients. Large language models (LLMs) like ChatGPT (OpenAI, San Francisco, CA, USA) represent cutting edge AI tools which may offer significant potential to enhance patient care by improving communication, aiding in diagnosis, and assisting in treatment planning. In elderly patients, who often present with complex health profiles and multiple comorbidities, AI can prove particularly beneficial, and it can analyze extensive data to provide personalized, evidence-based recommendations. For instance, ChatGPT can support clinicians in managing polypharmacy by identifying potential drug interactions and suggesting optimal medication regimens, thereby reducing adverse effects. Additionally, AI tools can help overcome therapeutic inertia by prompting timely treatment adjustments, ensuring that elderly patients receive appropriate interventions. However, the successful implementation of AI in cardiogeriatrics requires robust technological infrastructures, a synergistic integration with electronic health records, and careful consideration of ethical and privacy concerns. Ongoing collaboration between technologists and healthcare professionals is essential to address these challenges and fully realize the benefits of AI in enhancing cardiovascular care for the elderly.