{"title":"调查人工智能大型语言模型的生物医学研究需要超越对准确性的衡量,而将重点放在改善患者护理上。","authors":"George C Balazs","doi":"10.1016/j.arthro.2024.10.010","DOIUrl":null,"url":null,"abstract":"<p><p>Orthopaedic surgeons are fascinated with artificial intelligence (AI). Since the release of ChatGPT to the general public on November 30, 2022, there have been a flurry of articles regarding use of large language models (LLMs) in our field. Most of these revolve around the accuracy of the models regarding orthopaedic topics (spoiler alert: the accuracy is good, yet unreliable, but improving). Unfortunately, the research around LLM is largely repetitive, applying the LLMs to the same essential tasks. LLM AI systems show amazing capabilities in data processing, collating and organizing and recognizing patterns. Now, research scientists need to innovate. Journals must encourage authors to investigate how AI systems can improve patient care.</p>","PeriodicalId":55459,"journal":{"name":"Arthroscopy-The Journal of Arthroscopic and Related Surgery","volume":" ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Editorial Commentary: Biomedical Research Investigating Artificial Intelligence Large Language Models Needs to Move Beyond Measuring Accuracy and Focus on Improving Patient Care.\",\"authors\":\"George C Balazs\",\"doi\":\"10.1016/j.arthro.2024.10.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Orthopaedic surgeons are fascinated with artificial intelligence (AI). Since the release of ChatGPT to the general public on November 30, 2022, there have been a flurry of articles regarding use of large language models (LLMs) in our field. Most of these revolve around the accuracy of the models regarding orthopaedic topics (spoiler alert: the accuracy is good, yet unreliable, but improving). Unfortunately, the research around LLM is largely repetitive, applying the LLMs to the same essential tasks. LLM AI systems show amazing capabilities in data processing, collating and organizing and recognizing patterns. Now, research scientists need to innovate. Journals must encourage authors to investigate how AI systems can improve patient care.</p>\",\"PeriodicalId\":55459,\"journal\":{\"name\":\"Arthroscopy-The Journal of Arthroscopic and Related Surgery\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Arthroscopy-The Journal of Arthroscopic and Related Surgery\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1016/j.arthro.2024.10.010\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ORTHOPEDICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arthroscopy-The Journal of Arthroscopic and Related Surgery","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1016/j.arthro.2024.10.010","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
Editorial Commentary: Biomedical Research Investigating Artificial Intelligence Large Language Models Needs to Move Beyond Measuring Accuracy and Focus on Improving Patient Care.
Orthopaedic surgeons are fascinated with artificial intelligence (AI). Since the release of ChatGPT to the general public on November 30, 2022, there have been a flurry of articles regarding use of large language models (LLMs) in our field. Most of these revolve around the accuracy of the models regarding orthopaedic topics (spoiler alert: the accuracy is good, yet unreliable, but improving). Unfortunately, the research around LLM is largely repetitive, applying the LLMs to the same essential tasks. LLM AI systems show amazing capabilities in data processing, collating and organizing and recognizing patterns. Now, research scientists need to innovate. Journals must encourage authors to investigate how AI systems can improve patient care.
期刊介绍:
Nowhere is minimally invasive surgery explained better than in Arthroscopy, the leading peer-reviewed journal in the field. Every issue enables you to put into perspective the usefulness of the various emerging arthroscopic techniques. The advantages and disadvantages of these methods -- along with their applications in various situations -- are discussed in relation to their efficiency, efficacy and cost benefit. As a special incentive, paid subscribers also receive access to the journal expanded website.