聊天机器人及其在医疗领域的应用:现状与未来趋势:范围综述

V. Viswanathan, V. Jain, A. Vaish, Madhan Jeyaraman, K. Iyengar, Raju Vaishya
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引用次数: 0

摘要

聊天机器人是一种计算机程序,可通过语音或文本交互形式模拟对话。这些应用在患者教育、临床决策、人际沟通、研究活动、数据分析和行政事务等方面具有多重优势。本范围综述旨在分析这些模式在医学科学各领域的当前作用、缺陷、挑战和未来范围。2024 年 4 月 9 日在五个数据库(PubMed、Scopus、Web of Science、Embase 和 Google Scholar)中进行了文献检索。结果综合采用了叙述法。我们的文献检索共收集到 1024 项研究。在使用 Endnote 对稿件进行去重后,确定了 342 篇文章。经过标题和摘要筛选,74 篇文章被纳入下一轮筛选。最后,有 14 篇文章被选中进行此次范围界定审查。人们逐渐转向采用基于机器学习的策略来开发聊天机器人程序。聊天机器人具有巨大的潜力,可以彻底改变医学的方方面面,包括患者护理、学术活动和研究工作。人工智能可以非常有效地简化医疗护理中的常规功能和活动。聊天机器人有可能改善医疗服务的可及性、效率和标准。然而,还需要通过高质量的研究来进一步验证,以确保患者隐私、符合患者数据安全的策略、技术的准确性和精确性,并减少其在全球范围内常规应用的潜在隐患。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chatbots and Their Applications in Medical Fields: Current Status and Future Trends: A Scoping Review
Chatbots are computer programs, which are devised to simulate conversations through voice or textual interactive forms. These applications offer multiple benefits in patient education, clinical decision-making, interpersonal communication, research activities, data analysis and administrative affairs. The present scoping review aims to analyse the current role, pitfalls, challenges and future scope of these modalities in diverse fields of medical science. Literature search was made on 9 April 2024, on five databases (PubMed, Scopus, Web of Science, Embase and Google Scholar). A narrative approach was used for the synthesis of results. Our literature search yielded 1024 studies. After the de-duplication of manuscripts using Endnote, 342 articles were identified. After title and abstract screening, 74 articles were included for the next round of screening. Finally, 14 articles were selected for this scoping review.Diverse chatbot applications have been developed at a growing rate for use in medical science. There is a gradual shift towards employing machine learning-based strategies to develop chatbot programs. Chatbots have a significant potential to revolutionise diverse aspects of medicine including patient care, academic activities, and research endeavours. Artificial Intelligence can be highly effective in streamlining the routine functions and activities in medical care. Chatbots have the potential to meliorate the accessibility, efficiency and standard of medical care. However, the need for further validation through high-quality studies to ensure patient privacy, strategies to conform to patients’ data security, accuracy and precision of the technology and mitigating potential pitfalls in its routine utilisation globally are warranted.
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