Application Status and Strategy Consideration of Artificial Intelligence in Abnormal Lipid Management for Patients with premature coronary artery disease

Corresponding author: Zhao Chunyan, 53513953@qq.com

DOI: 10.12201/bmr.202604.00036

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  Abstract: Objective/Significance: To sort out the current application status of artificial intelligence in lipid management for patients with premature coronary heart disease(PCAD), and to build a new solution for enabling artificial intelligence to empower patients with efficient, systematic diagnosis and treatment as well as full-process management. Method/Process: According to the literature review, this study focuses on the current application status of artificial intelligence in lipid management for patients with PCAD, exploring the entire management process of monitoring - decision-making - behavior - implementation - evaluation. Results/Conclusion: The systematic review points out the key points in traditional patient management methods, such as poor compliance and insufficient health literacy. By leveraging the latest evidence and application prospects of artificial intelligence in self-monitoring, personalized decision-making, behavioral intervention, and effect evaluation, a strategy for a multimodal wearable + large model risk prediction + dynamic nursing interventions + continuous evaluation four-in-one closed-loop lipid management model for patients with premature coronary heart disease is proposed, aiming to promote a precise and sustainable lipid management model both in and out of hospitals.

  Key words: Premature coronary artery disease；Lipid management; Artificial intelligence; Literature review

  Submit time: 7 April 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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