World Health Organization: WHO. Obesity and overweight. 2024. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA. 2013;309:71–82.
Article CAS PubMed PubMed Central Google Scholar
Chew HSJ, Ang WHD, Lau Y. The potential of artificial intelligence in enhancing adult weight loss: a scoping review. Public Health Nutr. 2021;24:1993–2020.
Kushner RF. Weight loss strategies for treatment of obesity. Prog Cardiovasc Dis. 2014;56:465–72.
Chu YT, Huang RY, Chen TTW, Lin WH, Tang JT, Lin CW, et al. Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisions. Digit Health. 2022;8:20552076221136372.
PubMed PubMed Central Google Scholar
Kivimäki M, Kuosma E, Ferrie JE, Luukkonen R, Nyberg ST, Alfredsson L, et al. Overweight, obesity, and risk of cardiometabolic multimorbidity: pooled analysis of individual-level data for 120 813 adults from 16 cohort studies from the USA and Europe. Lancet Public Health. 2017;2:e277–85.
Article PubMed PubMed Central Google Scholar
Masood A, Alsheddi L, Alfayadh L, Bukhari B, Elawad R, Alfadda AA. Dietary and lifestyle factors serve as predictors of successful weight loss maintenance postbariatric surgery. J Obes. 2019;2019:7295978.
Article PubMed PubMed Central Google Scholar
Saperstein SL, Atkinson NL, Gold RS. The impact of Internet use for weight loss. Obes Rev. 2007;8:459–65.
Article CAS PubMed Google Scholar
Tan SSL, Goonawardene N. Internet health information seeking and the patient-physician relationship: a systematic review. J Med Internet Res. 2017;19:e9.
Article PubMed PubMed Central Google Scholar
Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2:230–43.
Article PubMed PubMed Central Google Scholar
Ahuja AS. The impact of artificial intelligence in medicine on the future role of the physician. PeerJ. 2019;7:e7702.
Article PubMed PubMed Central Google Scholar
Nadarzynski T, Miles O, Cowie A, Ridge D. Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: a mixed-methods study. Digit Health. 2019;5:2055207619871808.
Article PubMed PubMed Central Google Scholar
Chew HSJ. The use of artificial intelligence-based conversational agents (Chatbots) for weight loss: scoping review and practical recommendations. JMIR Med Inform. 2022;10:e32578.
Article PubMed PubMed Central Google Scholar
Pavlik EJ, Ramaiah DD, Swiecki-Sikora AL, Land JM. Replies to queries in gynecologic oncology by Bard, Bing and Google Assistant. BioMedInformatics. 2024;4:1773–82.
Shukla R, Mishra AK, Banerjee N, Verma A. The comparison of ChatGPT 3.5, Microsoft Bing, and Google Gemini for diagnosing cases of neuroophthalmology. Cureus. 2024;16:e58232.
PubMed PubMed Central Google Scholar
Yang R, Tan TF, Lu W, Thirunavukarasu AJ, Ting DSW, Liu N. Large language models in health care: development, applications, and challenges. Health Care Sci. 2023;2:255–63.
Article PubMed PubMed Central Google Scholar
Barlas T, Altinova AE, Akturk M, Toruner FB. Credibility of ChatGPT in the assessment of obesity in type 2 diabetes according to the guidelines. Int J Obes. 2024;48:271–5.
Alhur A. Redefining healthcare with artificial intelligence (AI): the contributions of ChatGPT, Gemini, and Co-pilot. Cureus. 2024;16:e57795.
PubMed PubMed Central Google Scholar
Atarere J, Naqvi H, Haas C, Adewunmi C, Bandaru S, Allamneni R, et al. Applicability of online chat-based artificial intelligence models to colorectal cancer screening. Dig Dis Sci. 2024;69:791–7.
Lee Y, Shin T, Tessier L, Javidan A, Jung J, Hong D. et al. ASMBS Artificial Intelligence and Digital Surgery Task Force. Harnessing artificial intelligence in bariatric surgery:comparative analysis of ChatGPT-4, Bing, and Bard in generating clinician-level bariatric surgery recommendations. Surg Obes Relat Dis. 2024;20:603–608. https://doi.org/10.1016/j.soard.2024.03.011.
Kozaily E, Geagea M, Akdogan ER, Atkins J, Elshazly MB, Guglin M, et al. Accuracy and consistency of online large language model-based artificial intelligence chat platforms in answering patients’ questions about heart failure. Int J Cardiol. 2024;408:132115.
Nazir T, Ahmad U, Mal M, Rehman MU, Saeed R, Kalia JS. Microsoft Bing vs. Google Bard in Neurology: A comparative study of AI-generated patient education material. 2023. https://doi.org/10.1101/2023.08.25.23294641.
Mudrik A, Nadkarni GN, Efros O, Glicksberg BS, Klang E, Soffer S. Exploring the role of large language models (LLMs) in hematology: A systematic review of applications, benefits, and limitations. 2024. https://doi.org/10.1101/2024.04.26.24306358.
Cornell S. Comparison of the diabetes guidelines from the ADA/EASD and the AACE/ACE. J Am Pharm Assoc. 2017;57:261–5.
Sblendorio E, Dentamaro V, Cascio AL, Germini F, Piredda M, Cicolini G. Integrating human expertise & automated methods for a dynamic and multiparametric evaluation of large language models’ feasibility in clinical decisionmaking. Int J Med Inform. 2024;188:105501.
Haider SA, Pressman SM, Borna S, Gomez-Cabello CA, Sehgal A, Leibovich BC, et al. Evaluating large language model (LLM) performance on established breast classification systems. Diagnostics. 2024;14:1491.
留言 (0)