Tokyo University of Science
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence-assisted interventions for perioperative anesthetic management: a systematic review and meta-analysis
Kensuke Shimada, Ryota Inokuchi, Tomohiro Ohigashi et al.
2024 · 14 Zit.
Comparison of machine-learning and logistic regression models for prediction of 30-day unplanned readmission in electronic health records: A development and validation study
Masao Iwagami, Ryota Inokuchi, Eiryo Kawakami et al.
2024 · 14 Zit.
Study on Horizon Scanning with a Focus on the Development of AI-Based Medical Products: Citation Network Analysis
Takuya Takata, Hajime Sasaki, Hiroko Yamano et al.
2021 · 10 Zit.
Study on horizon-scanning with a focus on the development of AI-based medical products: citation network analysis
Takuya Takata, Hajime Sasaki, Hiroko Yamano et al.
2021 · 7 Zit.
The Effectiveness of Free Software for Detecting AI-Generated Writing
Gregory Price, Marc D. Sakellarios
2023 · 7 Zit.
Japanese University EFL Student Insights on the Emerging ChatGPT Phenomenon
Gregory Price
2024 · 5 Zit.
Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer
Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake et al.
2024 · 2 Zit.
Age Estimation from Blood Test Results Using a Random Forest Model
Satomi Kodera, Osamu Yokoi, Masaki Kaneko et al.
2024 · 1 Zit.
Reimagining Methodology: A Hybrid Intelligence Inquiry (Hybrid Intelligence Series, Volume I)
Terumi Miyazoe
2025 · 0 Zit.
Hybrid Intelligence Diverging
Terumi Miyazoe
2026 · 0 Zit.
Materials Dual-Source Knowledge Retrieval-Augmented Generation for Local Large Language Models in Photocatalysts
Wataru Takahara, Yuichi Yamaguchi, Mai Ogano et al.
2025 · 0 Zit.
Japanese EFL learners’ perceptions and acceptance of multimodal AI chatbot tutoring
Michael Hofmeyr
2025 · 0 Zit.
Hybrid Intelligence Diverging
Terumi Miyazoe
2026 · 0 Zit.
The Fine Balance Between Complete Data Integrity in Medical Adaptive Machine Learning Systems and the Protection of Research Participants
Keiichiro Yamamoto, Tomohide Ibuki, Eisuke Nakazawa
2024 · 0 Zit.
Points of View on Peer Review and the Potential for AI-Assisted Review
Takashiro Akitsu
2025 · 0 Zit.