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From Clinic to Kitchen to Electronic Health Record: The Background and Process of Building a Culinary Medicine eConsult Service.从诊所到厨房再到电子健康记录:构建烹饪医学电子咨询服务的背景与过程。
J Multidiscip Healthc. 2024 Jun 7;17:2777-2787. doi: 10.2147/JMDH.S461377. eCollection 2024.
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Incorporating AI into cardiovascular diseases prevention-insights from Singapore.将人工智能融入心血管疾病预防——来自新加坡的见解
Lancet Reg Health West Pac. 2024 May 27;48:101102. doi: 10.1016/j.lanwpc.2024.101102. eCollection 2024 Jul.
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Spatial analysis of 10-year predicted risk and incident atherosclerotic cardiovascular disease: the CoLaus cohort.10 年预测风险和动脉粥样硬化性心血管疾病事件的空间分析:CoLaus 队列研究。
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EClinicalMedicine. 2023 Oct 24;65:102259. doi: 10.1016/j.eclinm.2023.102259. eCollection 2023 Nov.
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人工智能与饮食干预动脉粥样硬化的健康不平等:叙事性综述。

Artificial Intelligence and Health Inequities in Dietary Interventions on Atherosclerosis: A Narrative Review.

机构信息

Department of Hospital Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.

Department of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

出版信息

Nutrients. 2024 Aug 7;16(16):2601. doi: 10.3390/nu16162601.

DOI:10.3390/nu16162601
PMID:39203738
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11357035/
Abstract

Poor diet is the top modifiable mortality risk factor globally, accounting for 11 million deaths annually with half being from diet-linked atherosclerotic cardiovascular disease (ASCVD). Yet, most of the world cannot afford a healthy diet-as the hidden costs of the inadequate global food system total over USD 13 trillion annually-let alone the much more clinically, financially, and ecologically costly and resource-intensive medical interventions required to address the disease progression and acute complications of ASCVD. Yet, AI is increasingly understood as a force multiplying revolutionary technology which may catalyze multi-sector efforts in medicine and public health to better address these significant health challenges. This novel narrative review seeks to provide the first known overview of the state-of-the-art in clinical interventions and public health policies in healthy diets for ASCVD, accelerated by health equity-focused AI. It is written from the first-hand practitioner perspective to provide greater relevance and applicability for health professionals and data scientists. The review summarizes the emerging trends and leading use cases in population health risk stratification and precision public health, AI democratizing clinical diagnosis, digital twins in precision nutrition, and AI-enabled culinary medicine as medical education and treatment. This review may, therefore, help inform and advance the evidence-based foundation for more clinically effective, financially efficient, and societally equitable dietary and nutrition interventions for ASCVD.

摘要

不良饮食是全球首要的可改变的死亡风险因素,每年导致 1100 万人死亡,其中一半死于与饮食相关的动脉粥样硬化性心血管疾病 (ASCVD)。然而,由于全球粮食系统的隐性成本每年总计超过 13 万亿美元,大多数人都负担不起健康饮食,更不用说为解决 ASCVD 的疾病进展和急性并发症所需的更具临床、经济和生态成本以及资源密集型的医疗干预。然而,人工智能越来越被理解为一种具有乘数效应的革命性技术,它可能会促进医疗和公共卫生领域多部门的努力,以更好地应对这些重大的健康挑战。本综述旨在提供首个关于通过以健康公平为重点的人工智能加速 ASCVD 健康饮食的临床干预和公共卫生政策的最新概述。它是从一线从业者的角度撰写的,为健康专业人员和数据科学家提供更大的相关性和适用性。该综述总结了人群健康风险分层和精准公共卫生、人工智能民主化临床诊断、精准营养中的数字双胞胎以及人工智能支持的烹饪医学作为医学教育和治疗方面的新兴趋势和主要用例。因此,本综述可能有助于为 ASCVD 的饮食和营养干预提供更具临床效果、更具成本效益和更公平的循证基础。