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JJR-TOP GUN Phase 1, Year 2: new perspectives through the integration of artificial intelligence and radiology.

作者信息

Kamagata Koji, Naganawa Shinji

机构信息

Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.

Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

出版信息

Jpn J Radiol. 2025 Mar;43(3):331-332. doi: 10.1007/s11604-025-01737-1.

DOI:10.1007/s11604-025-01737-1
PMID:39862349
Abstract
摘要

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The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI.深度学习技术在乳腺磁共振成像中的发展及临床影响
Magn Reson Med Sci. 2024 Oct 29. doi: 10.2463/mrms.rev.2024-0056.
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Generative AI and large language models in nuclear medicine: current status and future prospects.
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Ann Nucl Med. 2024 Nov;38(11):853-864. doi: 10.1007/s12149-024-01981-x. Epub 2024 Sep 25.
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Recent trends in AI applications for pelvic MRI: a comprehensive review.人工智能在盆腔 MRI 中的应用研究进展:综述
Radiol Med. 2024 Sep;129(9):1275-1287. doi: 10.1007/s11547-024-01861-4. Epub 2024 Aug 3.
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Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future.气候变化与医疗保健中的人工智能:迈向可持续未来的综述与建议。
Diagn Interv Imaging. 2024 Nov;105(11):453-459. doi: 10.1016/j.diii.2024.06.002. Epub 2024 Jun 24.
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Overview of Target-Oriented Project Group United for Nippon (TOP GUN): fostering interdisciplinary collaboration among young researchers in radiology on timely topics.
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