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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.
Japanese Journal of Radiology|February 26, 2024
Exploring subtypes of multiple sclerosis through unsupervised machine learning of automated fiber quantificationXueheng Liang, Zichun Yan, Yongmei Li
Japanese Journal of Radiology|July 27, 2023
Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT imagesNayu Hamabuchi, Yoshiharu Ohno, Hirona Kimata, et al.
Japanese Journal of Radiology|August 4, 2023
Fairness of artificial intelligence in healthcare: review and recommendationsDaiju Ueda, Taichi Kakinuma, Shohei Fujita, et al.
Japanese Journal of Radiology|April 24, 2024
FDG uptake in the cervical muscles after neck dissection: imaging features and postoperative natural course on 18F‑FDG‑PET/CTYukako Iritani, Hiroki Kato, Yo Kaneko, et al.
Japanese Journal of Radiology|April 16, 2024
Performance of postmortem CT in the diagnosis of natural death from out-of-hospital cardiac arrestYu Nakaki, Wataru Fukumoto, Haruka Higashibori, et al.
Japanese Journal of Radiology|May 11, 2024
Multiparametric approach with synthetic MR imaging for diagnosing salivary gland lesionsKoji Takumi, Ryota Nakanosono, Hiroaki Nagano, et al.
Japanese Journal of Radiology|May 10, 2024
Prognostic value of sarcopenia in the patients with locally advanced nasopharyngeal carcinomaTing Liu, Guimei Wang, Chunmei Chen, et al.
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