Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, 110062, India.
Ann Biomed Eng. 2024 May;52(5):1131-1135. doi: 10.1007/s10439-023-03335-6. Epub 2023 Aug 4.
The advent of artificial intelligence (AI) has catalyzed a revolutionary transformation across various industries, including healthcare. Medical applications of ChatGPT, a powerful language model based on the generative pre-trained transformer (GPT) architecture, encompass the creation of conversational agents capable of accessing and generating medical information from multiple sources and formats. This study investigates the research trends of large language models such as ChatGPT, GPT 4, and Google Bard, comparing their publication trends with early COVID-19 research. The findings underscore the current prominence of AI research and its potential implications in biomedical engineering. A search of the Scopus database on July 23, 2023, yielded 1,096 articles related to ChatGPT, with approximately 26% being medical science-related. Keywords related to artificial intelligence, natural language processing (NLP), LLM, and generative AI dominate ChatGPT research, while a focused representation of medical science research emerges, with emphasis on biomedical research and engineering. This analysis serves as a call to action for researchers, healthcare professionals, and policymakers to recognize and harness AI's potential in healthcare, particularly in the realm of biomedical research.
人工智能（AI）的出现推动了各个行业的革命性变革，包括医疗保健领域。ChatGPT 是一种基于生成式预训练转换器（GPT）架构的强大语言模型，它在医疗领域的应用包括创建能够从多种来源和格式访问和生成医疗信息的对话代理。本研究调查了 ChatGPT、GPT 4 和 Google Bard 等大型语言模型的研究趋势，将它们的发表趋势与早期 COVID-19 研究进行了比较。研究结果强调了人工智能研究的当前突出地位及其在生物医学工程中的潜在影响。2023 年 7 月 23 日在 Scopus 数据库中进行的搜索得到了 1096 篇与 ChatGPT 相关的文章，其中约 26%与医学科学相关。与人工智能、自然语言处理（NLP）、LLM 和生成式 AI 相关的关键词主导了 ChatGPT 研究，而医学科学研究的重点也出现了，重点是生物医学研究和工程。这项分析呼吁研究人员、医疗保健专业人员和政策制定者认识到并利用人工智能在医疗保健领域的潜力，特别是在生物医学研究领域。
