Artificial intelligence and obesity management: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2023

Harold Edward Bays , Angela Fitch , Suzanne Cuda , Sylvia Gonsahn-Bollie , Elario Rickey , Joan Hablutzel , Rachel Coy , Marisa Censani
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引用次数: 14

Abstract

Background

This Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) provides clinicians an overview of Artificial Intelligence, focused on the management of patients with obesity.

Methods

The perspectives of the authors were augmented by scientific support from published citations and integrated with information derived from search engines (i.e., Chrome by Google, Inc) and chatbots (i.e., Chat Generative Pretrained Transformer or Chat GPT).

Results

Artificial Intelligence (AI) is the technologic acquisition of knowledge and skill by a nonhuman device, that after being initially programmed, has varying degrees of operations autonomous from direct human control, and that performs adaptive output tasks based upon data input learnings. AI has applications regarding medical research, medical practice, and applications relevant to the management of patients with obesity. Chatbots may be useful to obesity medicine clinicians as a source of clinical/scientific information, helpful in writings and publications, as well as beneficial in drafting office or institutional Policies and Procedures and Standard Operating Procedures. AI may facilitate interactive programming related to analyses of body composition imaging, behavior coaching, personal nutritional intervention & physical activity recommendations, predictive modeling to identify patients at risk for obesity-related complications, and aid clinicians in precision medicine. AI can enhance educational programming, such as personalized learning, virtual reality, and intelligent tutoring systems. AI may help augment in-person office operations and telemedicine (e.g., scheduling and remote monitoring of patients). Finally, AI may help identify patterns in datasets related to a medical practice or institution that may be used to assess population health and value-based care delivery (i.e., analytics related to electronic health records).

Conclusions

AI is contributing to both an evolution and revolution in medical care, including the management of patients with obesity. Challenges of Artificial Intelligence include ethical and legal concerns (e.g., privacy and security), accuracy and reliability, and the potential perpetuation of pervasive systemic biases.

人工智能与肥胖管理:肥胖医学协会(OMA)临床实践声明(CPS)2023
背景本肥胖医学协会(OMA)临床实践声明(CPS)为临床医生提供了人工智能的概述,重点是肥胖患者的管理。方法作者的观点得到了已发表引文的科学支持,并与来自搜索引擎(即谷歌公司的Chrome)和聊天机器人(即聊天生成预训练转换器或聊天GPT)的信息相结合,在最初编程后,具有不同程度的操作,独立于直接的人类控制,并基于数据输入学习执行自适应输出任务。人工智能在医学研究、医学实践以及与肥胖患者管理相关的应用方面都有应用。聊天机器人可能对肥胖医学临床医生有用,作为临床/科学信息的来源,对写作和出版物有帮助,也有助于起草办公室或机构的政策和程序以及标准操作程序。人工智能可以促进与身体成分成像分析、行为指导、个人营养干预&;体育活动建议,预测模型,以确定有肥胖相关并发症风险的患者,并帮助临床医生进行精准医学。人工智能可以增强教育编程,如个性化学习、虚拟现实和智能辅导系统。人工智能可能有助于加强面对面的办公室操作和远程医疗(例如,患者的日程安排和远程监测)。最后,人工智能可能有助于识别与医疗实践或机构相关的数据集中的模式,这些模式可用于评估人群健康和基于价值的护理提供(即与电子健康记录相关的分析)。结论人工智能有助于医疗保健的演变和革命,包括肥胖患者的管理。人工智能的挑战包括伦理和法律问题(如隐私和安全)、准确性和可靠性,以及普遍存在的系统性偏见的潜在永久性。
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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