{"title":"人工智能在医学研究中的作用。","authors":"Ryan P. Radecki","doi":"10.1111/1742-6723.70148","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Artificial intelligence (AI), specifically technology based on large language models (LLMs), is rapidly emerging as a versatile adjunct in medical research. Applications of LLMs include preparation for research, literature review and citation screening. There is evidence LLMs are capable of performing significant portions of meta-research, such as systematic reviews and meta-analyses. Other applications could include identification of clinical trial participants, aiding in the collection of informed consent, and extraction of information from unstructured clinical text. Rapid improvement in the reliability and capability of LLMs will only increase potential utility.</p>\n </div>","PeriodicalId":11604,"journal":{"name":"Emergency Medicine Australasia","volume":"37 5","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Role of Artificial Intelligence in Enabling Medical Research\",\"authors\":\"Ryan P. Radecki\",\"doi\":\"10.1111/1742-6723.70148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Artificial intelligence (AI), specifically technology based on large language models (LLMs), is rapidly emerging as a versatile adjunct in medical research. Applications of LLMs include preparation for research, literature review and citation screening. There is evidence LLMs are capable of performing significant portions of meta-research, such as systematic reviews and meta-analyses. Other applications could include identification of clinical trial participants, aiding in the collection of informed consent, and extraction of information from unstructured clinical text. Rapid improvement in the reliability and capability of LLMs will only increase potential utility.</p>\\n </div>\",\"PeriodicalId\":11604,\"journal\":{\"name\":\"Emergency Medicine Australasia\",\"volume\":\"37 5\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Emergency Medicine Australasia\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/1742-6723.70148\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EMERGENCY MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Emergency Medicine Australasia","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1742-6723.70148","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EMERGENCY MEDICINE","Score":null,"Total":0}
The Role of Artificial Intelligence in Enabling Medical Research
Artificial intelligence (AI), specifically technology based on large language models (LLMs), is rapidly emerging as a versatile adjunct in medical research. Applications of LLMs include preparation for research, literature review and citation screening. There is evidence LLMs are capable of performing significant portions of meta-research, such as systematic reviews and meta-analyses. Other applications could include identification of clinical trial participants, aiding in the collection of informed consent, and extraction of information from unstructured clinical text. Rapid improvement in the reliability and capability of LLMs will only increase potential utility.
期刊介绍:
Emergency Medicine Australasia is the official journal of the Australasian College for Emergency Medicine (ACEM) and the Australasian Society for Emergency Medicine (ASEM), and publishes original articles dealing with all aspects of clinical practice, research, education and experiences in emergency medicine.
Original articles are published under the following sections: Original Research, Paediatric Emergency Medicine, Disaster Medicine, Education and Training, Ethics, International Emergency Medicine, Management and Quality, Medicolegal Matters, Prehospital Care, Public Health, Rural and Remote Care, Technology, Toxicology and Trauma. Accepted papers become the copyright of the journal.