Mervak Benjamin M, Fried Jessica G, Wasnik Ashish P
Department of Radiology, University of Michigan-Michigan Medicine, 1500 E. Medical Center Dr., Ann Arbor, MI 48109, USA.
Diagnostics (Basel). 2023 Sep 8;13(18):2889. doi: 10.3390/diagnostics13182889.
Artificial intelligence (AI) has been a topic of substantial interest for radiologists in recent years. Although many of the first clinical applications were in the neuro, cardiothoracic, and breast imaging subspecialties, the number of investigated and real-world applications of body imaging has been increasing, with more than 30 FDA-approved algorithms now available for applications in the abdomen and pelvis. In this manuscript, we explore some of the fundamentals of artificial intelligence and machine learning, review major functions that AI algorithms may perform, introduce current and potential future applications of AI in abdominal imaging, provide a basic understanding of the pathways by which AI algorithms can receive FDA approval, and explore some of the challenges with the implementation of AI in clinical practice.
近年来，人工智能（AI）一直是放射科医生非常感兴趣的话题。尽管最初的许多临床应用都集中在神经、心胸和乳腺成像亚专业，但体部成像的研究和实际应用数量一直在增加，目前有30多种经美国食品药品监督管理局（FDA）批准的算法可用于腹部和骨盆的应用。在本手稿中，我们探讨了人工智能和机器学习的一些基本原理，回顾了人工智能算法可能执行的主要功能，介绍了人工智能在腹部成像中的当前和潜在未来应用，提供了对人工智能算法获得FDA批准的途径的基本理解，并探讨了在临床实践中实施人工智能的一些挑战。
