J Lipid Atheroscler.  2025 Jan;14(1):77-93. 10.12997/jla.2025.14.1.77.

Application of Generative Artificial Intelligence in Dyslipidemia Care

• Ahn J
• Kim B

• KMID: 2565042
• DOI: http://doi.org/10.12997/jla.2025.14.1.77

Abstract

Dyslipidemia dramatically increases the risk of cardiovascular diseases, necessitating appropriate treatment techniques. Generative AI (GenAI), an advanced AI technology that can generate diverse content by learning from vast datasets, provides promising new opportunities to address this challenge. GenAI-powered frequently asked questions systems and chatbots offer continuous, personalized support by addressing lifestyle modifications and medication adherence, which is crucial for patients with dyslipidemia. These tools also help to promote health literacy by making information more accessible and reliable. GenAI helps healthcare providers construct clinical case scenarios, training materials, and evaluation tools, which supports professional development and evidence-based practice. Multimodal GenAI technology analyzes food images and nutritional content to deliver personalized dietary recommendations tailored to each patient's condition, improving long-term nutritional management for those with dyslipidemia. Moreover, using GenAI for image generation enhances the visual quality of educational materials for both patients and professionals, allowing healthcare providers to create real-time, customized visual aids. To apply successfully, healthcare providers must develop GenAI-related abilities, such as prompt engineering and critical evaluation of GenAI-generated data.

Keyword

Dyslipidemia; Generative artificial intelligence; Patient care management; Patient education as topic; Education, medical, continuing