Ueda Daiju

ウエダダイジュ | Ueda Daiju

Affiliation and department：
Job title： Associate Professor
Other affiliations (1)：

Osaka Metropolitan University Center for Health Science Innovation

Research field (1)： Radiology

Research keywords (4)： medical image , radiology , artificial intelligence , deep learning

Research theme for competitive and other funds (5)：

2024 - 2026 AIによる胸部レントゲン年齢の予後予測能の多施設検証
2022 - 2025 AIを用いたCTからの門脈圧亢進症の診断プログラムの開発-無侵襲診断へ
2021 - 2024 深層学習による冠動脈粥腫自動診断システムの開発とその臨床応用に関する研究
2020 - 2024 ディープラーニングによるDSA画像のモーションアーチファクトからの開放
2020 - 2022 心疾患自動診断アシスト機能搭載チップの実用化に向けたシステム開発

Papers (47)：

Takeshi Nakaura, Rintaro Ito, Daiju Ueda, Taiki Nozaki, Yasutaka Fushimi, Yusuke Matsui, Masahiro Yanagawa, Akira Yamada, Takahiro Tsuboyama, Noriyuki Fujima, et al. The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI. Japanese journal of radiology. 2024
Tatsushi Oura, Taro Shimono, Daisuke Horiuchi, Takeo Goto, Hirotaka Takita, Taro Tsukamoto, Hiroyuki Tatekawa, Daiju Ueda, Shu Matsushita, Yasuhito Mitsuyama, et al. Evaluation of cranial nerve involvement in chordomas and chondrosarcomas: a retrospective imaging study. Neuroradiology. 2024
Hiroyuki Tatekawa, Daiju Ueda, Hirotaka Takita, Toshimasa Matsumoto, Shannon L Walston, Yasuhito Mitsuyama, Daisuke Horiuchi, Shu Matsushita, Tatsushi Oura, Yuichiro Tomita, et al. Deep learning-based diffusion tensor image generation model: a proof-of-concept study. Scientific reports. 2024. 14. 1. 2911-2911
Hirotaka Takita, Shannon L Walston, Hiroyuki Tatekawa, Kenichi Saito, Yasushi Tsujimoto, Yukio Miki, Daiju Ueda. Diagnostic Performance of Generative AI and Physicians: A Systematic Review and Meta-Analysis. medRxiv. 2024
Daiju Ueda, Shannon L. Walston, Toshimasa Matsumoto, Ryo Deguchi, Hiroyuki Tatekawa, Yukio Miki. Evaluating GPT-4-based ChatGPT's clinical potential on the NEJM quiz. BMC Digital Health. 2024. 2. 1

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MISC (18)：

植田大樹. 【動画対応DRシステムを極める高精度の診断・治療を支える技術の動向と臨床の最前線】動画対応DRシステムの活用と期待! エキスパートの目線 IVR領域におけるAIの可能性. INNERVISION. 2022. 37. 12. 32-34
植田大樹. MRAによる脳動脈瘤診断補助AI-ROUTINE CLINICAL MRI 2022 BOOK. 映像情報medical : a monthly journal of medical imaging and information. 2021. 53. 14. 82-86
島原佑基, 植田大樹. 医療AIトップランナーズ(第2回) 放射線科医とAI研究開発にあたる若き研究者. 映像情報Medical. 2020. 52. 11. 4-9
植田大樹. 人工知能による画像診断支援概念から応用まで. 医用画像情報学会雑誌. 2020. 37. 2. 11-20
植田大樹. Artificial Intelligence in Radiology: From the Concept to Clinical Applications. 医用画像情報学会雑誌(Web). 2020. 37. 2

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Books (1)：

医療学総論
メヂカルフレンド社 2020 ISBN:9784839233693

Lectures and oral presentations (29)：

Young Leaders Roundtable: What to expect for AI Reading Room 2043
(The Asian-Oceanian Congress of Neuroradiology 2023 2023)
術前CTを導入した深層学習による肝細胞癌切除後の早期再発予測モデル開発
(日本外科学会定期学術集会抄録集 2023)
Generation of synthetic subtraction angiograms in abdominal region using deep learning
(The Cardiovascular and Interventional Radiological Society of Europe 2022)
大動脈弁狭窄症患者における心音の音響学的特徴の探索
(日本心臓病学会学術集会抄録 2022)
心不全患者における左房容量負荷に関連する心音の音響特徴量の探索
(日本心臓病学会学術集会抄録 2022)

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Education (2)：

2017 - 2021 Graduate School of Medicine, Osaka City University Diagnostic and Interventional Radiology
2008 - 2014 Mie University Faculty of Medicine

Professional career (1)：

PhD, MD (Osaka City University)

Work history (7)：

2024/04 - 現在 Osaka Metropolitan University Center for Health Science Innovation Deputy Director
2024/04 - 現在 Graduate School of Medicine, Osaka Metropolitan University Department of Artificial Intelligence Associate Professor
2022/04 - 2024/03 Graduate School of Medicine, Osaka Metropolitan University Department of Diagnostic and Interventional Radiology Researcher
2022/04 - 2024/03 Osaka Metropolitan University Center for Health Science Innovation Associate Professor
2021/04 - 2022/03 Graduate School of Medicine, Osaka City University Department of Diagnostic and Interventional Radiology Researcher

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Committee career (4)：

2022/10 - 現在 Japan Radiological Society Editorial committee of Japanese Journal of Radiology
2022/05 - 現在 Medical Physics Associate Editor
2020/11 - 現在 Japan Radiological Society Japanese Society of Artificial intelligence and Information technology in Medical Imaging
2018 - 2020 Japan Radiological Society Artificial intelligence Committee

Awards (10)：

2023/04 - Japan Radiological Society Medical Imaging Artificial Intelligence Research Award
2023/03 - Osaka City Medical Association Association Award Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method.
2022/12 - Osaka Metropolitan University Yoichiro Nambu Memorial Award
2022/09 - The Cardiovascular and Interventional Radiological Society of Europe Certificate of Merit Generation of synthetic subtraction angiograms in abdominal region using deep learning
2022/06 - Japanese Society of Interventional Radiology Best Paper Award Deep Learning-based Angiogram Generation Model for Cerebral Angiography without Misregistration Artifacts

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Association Membership(s) (4)：

Institute of Electrical and Electronics Engineers , Radiological Society of North America , Japanese Society of Interventional Radiology , Japan Radiological Society

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