Application of Generative Artificial Intelligence in Dyslipidemia Care.

Q2 Medicine
Journal of Lipid and Atherosclerosis Pub Date : 2025-01-01 Epub Date: 2024-12-10 DOI:10.12997/jla.2025.14.1.77
Jihyun Ahn, Bokyoung Kim
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引用次数: 0

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.

生成式人工智能在血脂异常护理中的应用。
血脂异常显著增加心血管疾病的风险,需要适当的治疗技术。生成式人工智能(GenAI)是一种先进的人工智能技术,可以通过从大量数据集中学习来生成多样化的内容,为应对这一挑战提供了有希望的新机遇。genai驱动的问答系统和聊天机器人通过解决生活方式的改变和药物依从性提供持续的个性化支持,这对血脂异常患者至关重要。这些工具还使信息更容易获得和更可靠,从而有助于促进卫生知识普及。GenAI帮助医疗保健提供者构建临床案例场景、培训材料和评估工具,支持专业发展和循证实践。多模式GenAI技术分析食物图像和营养成分,为每位患者提供量身定制的个性化饮食建议,改善血脂异常患者的长期营养管理。此外,使用GenAI生成图像可以提高患者和专业人员的教育材料的视觉质量,使医疗保健提供者能够创建实时、定制的视觉辅助工具。为了成功应用,医疗保健提供者必须开发与genai相关的能力,例如对genai生成的数据进行快速工程和关键评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Lipid and Atherosclerosis
Journal of Lipid and Atherosclerosis Medicine-Internal Medicine
CiteScore
6.90
自引率
0.00%
发文量
26
审稿时长
12 weeks
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