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Annals of Nuclear Medicine|September 25, 2023
From FDG and beyond: the evolving potential of nuclear medicineKenji Hirata, Koji Kamagata, Daiju Ueda, et al.Annals of Nuclear Medicine|September 25, 2024
Generative AI and large language models in nuclear medicine: current status and future prospectsKenji Hirata, Yusuke Matsui, Akira Yamada, et al.Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|August 2, 2023
Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR ImagingNoriyuki Fujima, Koji Kamagata, Daiju Ueda, et al.Japanese Journal of Radiology|November 15, 2024
Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospectsShohei Fujita, Yasutaka Fushimi, Rintaro Ito, et al.Japanese Journal of Radiology|October 2, 2024
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literatureYusuke Matsui, Daiju Ueda, Shohei Fujita, et al.La Radiologia Medica|August 3, 2024
Recent trends in AI applications for pelvic MRI: a comprehensive reviewTakahiro Tsuboyama, Masahiro Yanagawa, Tomoyuki Fujioka, et al.Japanese Journal of Radiology|March 29, 2024
The impact of large language models on radiology: a guide for radiologists on the latest innovations in AITakeshi Nakaura, Rintaro Ito, Daiju Ueda, et al.Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|October 30, 2024
The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRITomoyuki Fujioka, Shohei Fujita, Daiju Ueda, et al.European Radiology|March 27, 2023
Deep learning-based reconstruction can improve the image quality of low radiation dose head CTYasunori Nagayama, Koya Iwashita, Natsuki Maruyama, et al.La Radiologia Medica|February 24, 2025
Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?Taiki Nozaki, Masahiro Hashimoto, Daiju Ueda, et al.Pageof 29