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变革医学:聊天机器人成为改善诊断、治疗及患者支持的催化剂。

Revolutionizing Medicine: Chatbots as Catalysts for Improved Diagnosis, Treatment, and Patient Support.

作者信息

Abbas Syed A, Yusifzada Izmir, Athar Sufia

机构信息

Health, Delhi Public School - Modern Indian School, Doha, QAT.

Health, Secondary School Number 210, Baku, AZE.

出版信息

Cureus. 2025 Mar 21;17(3):e80935. doi: 10.7759/cureus.80935. eCollection 2025 Mar.

DOI:10.7759/cureus.80935
PMID:40255778
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12009506/
Abstract

Chatbots have emerged as one of the revolutionary tools in healthcare that combine artificial intelligence to improve patient engagement in diagnosis, treatment, monitoring, and support. In this review, the application of chatbots in medicine over the past two decades is discussed, focusing on their application in several aspects of medicine, including oncology, psychiatry, and chronic disease management. A total of 38 clinically relevant studies were identified from a comprehensive literature search. These studies demonstrate that the efficacy of chatbots in early symptom detection, personalized treatment planning, and emotional support has a particular emphasis on addressing mental health needs. The review focuses on the role of chatbots in improving the communication gap between patients and health providers to achieve improved access to medical information and treatment adherence. The findings underscore the substantial promise of chatbots in enhancing healthcare delivery and reveal areas that need further exploration, particularly in radiology and advanced diagnostics. With the continuous rise in technological development, the use of chatbots is expected to become more central in streamlining health processes toward better patient outcomes and enhanced health literacy. This review, therefore, calls for continued investment in the incorporation of these chatbot innovations in healthcare systems for their full potential to be realized in patient care.

摘要

聊天机器人已成为医疗保健领域的革命性工具之一,它结合人工智能来提高患者在诊断、治疗、监测和支持方面的参与度。在这篇综述中,讨论了聊天机器人在过去二十年中在医学领域的应用,重点关注其在医学多个方面的应用,包括肿瘤学、精神病学和慢性病管理。通过全面的文献检索共确定了38项临床相关研究。这些研究表明,聊天机器人在早期症状检测、个性化治疗规划和情感支持方面的功效特别强调满足心理健康需求。该综述重点关注聊天机器人在改善患者与医疗服务提供者之间的沟通差距以实现更好地获取医疗信息和治疗依从性方面的作用。研究结果强调了聊天机器人在改善医疗服务提供方面的巨大潜力,并揭示了需要进一步探索的领域,特别是在放射学和先进诊断方面。随着技术的不断发展,聊天机器人的使用预计将在简化医疗流程以实现更好的患者治疗效果和提高健康素养方面发挥更核心的作用。因此,本综述呼吁继续投资将这些聊天机器人创新纳入医疗系统,以在患者护理中充分发挥其潜力。

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Health Informatics J. 2024 Apr-Jun;30(2):14604582241262251. doi: 10.1177/14604582241262251.
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Pilot Study of a Mobile Phone Chatbot for Medication Adherence and Toxicity Management Among Patients With GI Cancers on Capecitabine.卡培他滨治疗的胃肠道癌症患者药物依从性和毒性管理的手机聊天机器人初步研究。
JCO Oncol Pract. 2024 Apr;20(4):483-490. doi: 10.1200/OP.23.00365. Epub 2024 Jan 18.
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Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support.了解使用基于大型语言模型的对话代理来支持心理健康的好处和挑战。
AMIA Annu Symp Proc. 2024 Jan 11;2023:1105-1114. eCollection 2023.
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Classifying and clustering mood disorder patients using smartphone data from a feasibility study.利用可行性研究中的智能手机数据对情绪障碍患者进行分类和聚类。
NPJ Digit Med. 2023 Dec 21;6(1):238. doi: 10.1038/s41746-023-00977-7.
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Expanding horizons and navigating challenges for enhanced clinical workflows: ChatGPT in urology.拓展视野并应对挑战以优化临床工作流程:泌尿外科中的ChatGPT
Front Surg. 2023 Sep 7;10:1257191. doi: 10.3389/fsurg.2023.1257191. eCollection 2023.
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