Validation of artificial intelligence-based application to estimate nutrients in daily meals.

IF 2.5 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Journal of cardiology Pub Date : 2024-10-30 DOI:10.1016/j.jjcc.2024.10.003

Teruhiko Imamura, Nikhil Narang, Koichiro Kinugawa

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引用次数: 0

Abstract

Background: Diet modification is a mainstay for the successful management of metabolic syndrome and potentially may reduce the risk of cardiovascular disease. Accurate estimation of essential nutrients in daily meals is currently challenging to quantify. HAKARIUM (AstraZeneca Co., Ltd., Osaka, Japan) is a recently introduced artificial intelligence (AI)-based application that can estimate each nutrient component through photographs, although its applicability to real-world practice remains unknown.

Methods: Lunchtime meals served for healthy individuals at a single university cooperative society between September 2023 and February 2024 were analyzed. Nutrient components, including energy in the form of calories, protein, and salts, were estimated by the HAKARIUM application and compared with the actual nutrient values that were officially calculated and presented by the university cooperative society.

Results: A total of 62 meals were included. Actual values of energy, protein, and salt content per meal were 382 (358, 431) kcal, 17.1 (13.9, 18.9) g, and 2.9 (2.6, 3.1) g, respectively. AI-estimated values of energy, protein, and salt content per meal were 636 (493, 835) kcal, 25.7 (19.7, 36.3) g, and 4.2 (3.5, 4.6) g, respectively. Most of the values were within the limits of agreement with significant correlations between the two variables, respectively (r > 0.80, p < 0.05 for all).

Conclusion: AI-based estimation of nutrient components had relatively good agreement with actually calculated values.

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验证基于人工智能的应用程序，以估算每日膳食中的营养成分。

背景：调整饮食是成功控制代谢综合征的主要手段，并有可能降低心血管疾病的风险。目前，精确估算每日膳食中的必需营养素是一项具有挑战性的工作。HAKARIUM（阿斯利康有限公司，日本大阪）是最近推出的一款基于人工智能（AI）的应用程序，它可以通过照片估算出每种营养成分，但其在实际应用中的适用性仍是未知数：方法：分析了 2023 年 9 月至 2024 年 2 月期间一所大学合作协会为健康人提供的午餐。通过 HAKARIUM 应用程序估算了营养成分，包括热量、蛋白质和盐分等形式的能量，并与大学合作协会官方计算和提供的实际营养值进行了比较：结果：共包括 62 份膳食。每餐的能量、蛋白质和盐的实际含量分别为 382 (358, 431) 千卡、17.1 (13.9, 18.9) 克和 2.9 (2.6, 3.1) 克。每餐的能量、蛋白质和盐含量的人工合成估计值分别为 636（493，835）千卡、25.7（19.7，36.3）克和 4.2（3.5，4.6）克。大多数数值都在一致范围内，两个变量之间分别存在显著相关性（r > 0.80，p 结论）：基于人工智能的营养成分估算值与实际计算值的一致性相对较好。

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 cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-

CiteScore

4.90

自引率

8.00%

发文量

202

审稿时长

29 days

期刊介绍： The official journal of the Japanese College of Cardiology is an international, English language, peer-reviewed journal publishing the latest findings in cardiovascular medicine. Journal of Cardiology (JC) aims to publish the highest-quality material covering original basic and clinical research on all aspects of cardiovascular disease. Topics covered include ischemic heart disease, cardiomyopathy, valvular heart disease, vascular disease, hypertension, arrhythmia, congenital heart disease, pharmacological and non-pharmacological treatment, new diagnostic techniques, and cardiovascular imaging. JC also publishes a selection of review articles, clinical trials, short communications, and important messages and letters to the editor.