Research field (4)：
Radiology
, Medical systems
, Medical systems
, Radiology
Research keywords (6)：
medical imaging
, machine learning
, medical ultrasonics
, radiology
, diagnostic imaging
, artificial intelligence
Research theme for competitive and other funds (7)：
2021 - 2024 Enhancing thrombolytic therapy using clinical ultrasound with micro bubble contrast agent
2020 - 2023 新しい原理による安全かつ有効な、がんの選択的超音波造影法の開発
2022 - Development of Artificial Intelligence (Deep Learning) for Real-time Breast Cancer Detection and Prediction of Breast Cancer Grade in Breast Ultrasonography
Zuojun Wang, Jun Kubota, Norio Nakata. Determination of thermal and mechanical indices of an ultrasound probe with an inclined beam-axis in accordance with the new JIS (or IEC Standards). Japanese Journal of Applied Physics. 2023
Norio Nakata, Tsuyoshi Siina. Ensemble Learning of Multiple Models Using Deep Learning for Multiclass Classification of Ultrasound Images of Hepatic Masses. Bioengineering. 2023. 10. 1. 69-69
Yoshikazu Sawaguchi, Zuojun Wang, Hiroyuki Yamamoto, Norio Nakata. In vitro study about prevention of vascular reocclusion by low intensity ultrasonic irradiation. Drug discoveries & therapeutics. 2022
Naoya Inagaki, Norio Nakata, Sina Ichimori, Jun Udaka, Ayano Mandai, Mitsuru Saito. Detection of Sacral Fractures on Radiographs Using Artificial Intelligence. JBJS Open Access. 2022
1982 - 1988 Jikei University Faculty of Medicine School of Medicine
Professional career (1)：
M.D., Ph.D. (The Jikei University, School of Medicine)
Work history (8)：
2023/04 - 現在 Center for Integrated Medical Research, The Jikei University, School of Medicine Department of Artificial Intelligence in Medicine Professor, Director
2020/04 - 現在 Center for Integrated Medical Research, The Jikei University, School of Medicine Division of Artificial Intelligence in Medicine Director
2014/10 - 2023/03 The Jikei University Hospital Ultrasonography Center. Director
