| Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms D Ueda, A Yamamoto, M Nishimori, T Shimono, S Doishita, A Shimazaki, ... Radiology 290 (1), 187-194, 2019 | 231 | 2019 |
| Fairness of artificial intelligence in healthcare: review and recommendations D Ueda, T Kakinuma, S Fujita, K Kamagata, Y Fushimi, R Ito, Y Matsui, ... Japanese Journal of Radiology 42, 3–15, 2024 | 209 | 2024 |
| Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method A Shimazaki, D Ueda, A Choppin, A Yamamoto, T Honjo, Y Shimahara, ... Scientific Reports 12, 727, 2022 | 115 | 2022 |
| Technical and clinical overview of deep learning in radiology D Ueda, A Shimazaki, Y Miki Japanese Journal of Radiology 37, 15–33, 2019 | 98 | 2019 |
| Diagnostic Performance of ChatGPT from Patient History and Imaging Findings on the Diagnosis Please Quizzes D Ueda, Y Mitsuyama, H Takita, D Horiuchi, SL Walston, H Tatekawa, ... Radiology 308 (1), e231040, 2023 | 84 | 2023 |
| Accuracy of ChatGPT generated diagnosis from patient's medical history and imaging findings in neuroradiology cases D Horiuchi, H Tatekawa, T Shimono, SL Walston, H Takita, S Matsushita, ... Neuroradiology 66, 73–79, 2024 | 55 | 2024 |
| Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study D Ueda, A Yamamoto, A Shimazaki, SL Walston, T Matsumoto, N Izumi, ... BMC Cancer 21, 1120, 2021 | 44 | 2021 |
| Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study D Ueda, T Matsumoto, S Ehara, A Yamamoto, SL Walston, A Ito, ... The Lancet Digital Health 5 (8), e525-e533, 2023 | 37 | 2023 |
| Revolutionizing radiation therapy: the role of AI in clinical practice M Kawamura, T Kamomae, M Yanagawa, K Kamagata, S Fujita, D Ueda, ... Journal of Radiation Research 65 (1), 1–9, 2024 | 31 | 2024 |
| Deep learning–based Angiogram Generation Model for Cerebral Angiography without Misregistration Artifacts D Ueda, Y Katayama, A Yamamoto, T Ichinose, H Arima, Y Watanabe, ... Radiology 299 (3), 675-681, 2021 | 31 | 2021 |
| Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction F Tatsugami, T Nakaura, M Yanagawa, S Fujita, K Kamagata, R Ito, ... Diagnostic and Interventional Imaging 104 (11), 521-528, 2023 | 30 | 2023 |
| The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI T Nakaura, R Ito, D Ueda, T Nozaki, Y Fushimi, Y Matsui, M Yanagawa, ... Japanese Journal of Radiology 42, 685–696, 2024 | 28 | 2024 |
| Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets D Ueda, A Yamamoto, N Onoda, T Takashima, S Noda, S Kashiwagi, ... PLoS ONE 17 (3), e0265751, 2022 | 28 | 2022 |
| Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis T Sugibayashi, SL Walston, T Matsumoto, Y Mitsuyama, Y Miki, D Ueda European Respiratory Review 32 (168), 220259, 2023 | 27 | 2023 |
| Comparing the Diagnostic Performance of GPT-4-based ChatGPT, GPT-4V-based ChatGPT, and Radiologists in Challenging Neuroradiology Cases D Horiuchi, H Tatekawa, T Oura, S Oue, SL Walston, H Takita, ... Clinical Neuroradiology 34, 779–787, 2024 | 24 | 2024 |
| Evaluating GPT-4-based ChatGPT's clinical potential on the NEJM quiz D Ueda, SL Walston, T Matsumoto, R Deguchi, H Tatekawa, Y Miki BMC Digital Health 2, 4, 2024 | 24 | 2024 |
| Clinical applications of artificial intelligence in liver imaging A Yamada, K Kamagata, K Hirata, R Ito, T Nakaura, D Ueda, S Fujita, ... La radiologia medica 128, 655–667, 2023 | 24 | 2023 |
| Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in Japan Y Mitsuyama, T Matsumoto, H Tatekawa, SL Walston, T Kimura, ... The Lancet Healthy Longevity 4 (9), e478-e486, 2023 | 23 | 2023 |
| Improved reproducibility of diffusion tensor image analysis along the perivascular space (DTI-ALPS) index: an analysis of reorientation technique of the OASIS-3 dataset H Tatekawa, S Matsushita, D Ueda, H Takita, D Horiuchi, N Atsukawa, ... Japanese Journal of Radiology 41, 393–400, 2023 | 23 | 2023 |
| New trend in artificial intelligence-based assistive technology for thoracic imaging M Yanagawa, R Ito, T Nozaki, T Fujioka, A Yamada, S Fujita, K Kamagata, ... La radiologia medica 128, 1236–1249, 2023 | 22 | 2023 |
Rintaro ItoAssistant Professor, Department of Innovative BioMedical Visualization, Nagoya University GraduateAdresse e-mail validée de med.nagoya-u.ac.jp