Department of Diagnostic Radiology, University of Tennessee Health Science Center, Memphis, TN 38103, USA.
Department of Radiology, Seth GS Medical College & KEM Hospital, Acharya Donde Marg, Parel East, Parel, Mumbai, Maharashtra 400012, India.
Clin Imaging. 2022 Jul;87:43-53. doi: 10.1016/j.clinimag.2022.04.007. Epub 2022 Apr 20.
The use of technology in medicine has grown exponentially because of the technological advancements allowing the digitization of medical data and optimization of their processing to extract multiple features of significant clinical relevance. Radiology has benefited substantially from technical developments and innovations, such as artificial intelligence (AI). This article describes the subsets of AI methods relevant to gastrointestinal and hepatic imaging with examples. We also discuss the evolution of AI, the current challenges, and prospects for further development in the field.
由于技术进步允许医学数据的数字化和优化处理以提取具有重要临床相关性的多个特征,医学领域对技术的使用呈指数级增长。放射学从技术发展和创新中受益匪浅,例如人工智能 (AI)。本文描述了与胃肠道和肝脏成像相关的 AI 方法子集,并举例说明。我们还讨论了 AI 的发展、当前的挑战以及该领域进一步发展的前景。