Institute of Medical Informatics, University of Münster, Germany.
Department of Radiology and Biomedical Imaging, Department of Digestive Diseases; Yale School of Medicine, Department of Biomedical Engineering; Yale School of Engineering and Applied Sciences, New Haven, CT, USA.
J Hepatol. 2024 Jun;80(6):977-980. doi: 10.1016/j.jhep.2023.07.028. Epub 2023 Aug 5.
In an age where technology is evolving at a sometimes incomprehensibly rapid pace, the liver community must adjust and learn to embrace breakthroughs with an open mind in order to benefit from potentially transformative influences on our science and practice. The Journal of Hepatology has responded to novel developments in artificial intelligence (AI) by recruiting experts in the field to serve on the Editorial Board. Publications introducing novel AI technology are no longer uncommon in our journal and are among the most highly debated and possibly practice-changing papers across a broad range of scientific disciplines, united by their focus on liver disease. As AI is rapidly evolving, this expert paper will focus on educating our readership on large language models and their possible impact on our research practice and clinical outlook, outlining both challenges and opportunities in the field. "To improve is to change; to be perfect is to change often." - Winston S. Churchill.
在一个科技发展速度有时令人难以理解的时代,肝脏领域的专业人员必须调整自己的思维方式,接受新技术,以便从这些可能改变我们的科学和实践的突破中受益。《肝脏病学杂志》(Journal of Hepatology)对人工智能(AI)领域的新发展做出了回应,聘请了该领域的专家担任编辑委员会成员。在我们的期刊中,介绍新型 AI 技术的出版物已不再罕见,这些论文是最受争议的论文之一,可能会改变许多科学领域的实践,它们的共同关注点是肝脏疾病。随着人工智能的快速发展,这篇专家论文将重点关注教育我们的读者了解大型语言模型及其对我们的研究实践和临床前景的可能影响,概述该领域的挑战和机遇。“要改善就要改变;要完美就要经常改变。”——温斯顿·丘吉尔。