Mervak Benjamin M, Fried Jessica G, Neshewat Julian, Wasnik Ashish P
University of Michigan-Ann Arbor, Ann Arbor, USA.
Abdom Radiol (NY). 2025 Jun 27. doi: 10.1007/s00261-025-05088-3.
Artificial intelligence (AI) algorithms and deep learning continue to change the landscape of radiology. New algorithms promise to enhance diagnostic accuracy, improve workflow efficiency, and automate repetitive tasks. This article provides a narrative review of the FDA-cleared AI algorithms which are commercially available in the United States as of late 2024 and targeted toward assessment of abdominopelvic organs and related diseases, evaluates potential advantages of using AI, and suggests future directions for the field.
人工智能(AI)算法和深度学习不断改变着放射学的格局。新算法有望提高诊断准确性、提升工作流程效率并实现重复性任务的自动化。本文对截至2024年末在美国可商业获取的、经美国食品药品监督管理局(FDA)批准的、针对腹盆腔器官及相关疾病评估的AI算法进行了叙述性综述,评估了使用AI的潜在优势,并提出了该领域未来的发展方向。
Abdom Radiol (NY). 2025-6-27
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