Fukushima Medical University

Acceptance of the Use of Artificial Intelligence in Medicine Among Japan’s Doctors and the Public: A Questionnaire Survey

Honoka Tamori, Hiroko Yamashina, Masami Mukai et al.

2021 · 46 Zit.

Usefulness of deep learning-assisted identification of hyperdense MCA sign in acute ischemic stroke: comparison with readers’ performance

Yuki Shinohara, Noriyuki Takahashi, Yongbum Lee et al.

2020 · 14 Zit.

Hallucinations in Medical Literature Searches Using ChatGPT-5: The Ongoing Need for Physician-Led Fact-Checking

Keisuke Yoshida, Takayuki Hasegawa, Satoki Inoue

2025 · 2 Zit.

An open competition involving thousands of competitors failed to construct useful abstract classifiers for new diagnostic test accuracy systematic reviews

Yuki Kataoka, Shunsuke Taito, Norio Yamamoto et al.

2023 · 2 Zit.

Explainable machine learning for predicting postoperative length of stay after gastrectomy: a nationwide study using XGBoost and SHAP

Tsunehiko Maruyama, Kazuto Ikezawa, Hideo Suzuki et al.

2025 · 1 Zit.

Artificial Intelligence–Assisted Ultrasound Interpretation Enhances Diagnostic Performance Among Trainees in Thyroid Imaging

Fumihiko Furuya, Keiichi Nakano, Yoshiko Matsumoto et al.

2026 · 0 Zit.

External Validation of an AI-Based Colonoscopy Quality Assessment Tool in Japanese Clinical Practice: A Pilot Study

Hiroaki Saito, Evandros Kalamanos, Kristjana Kristinsdottir et al.

2026 · 0 Zit.

Artificial Intelligence in Health Systems: Addressing Global Underperformance Through Digital Transformation

Rifat Atun, Ryohei Yamamoto, Hajime Yamazaki et al.

2026 · 0 Zit.

Deep learning model for screening causes of activated partial thromboplastin time prolongation using clot waveform analysis at multiple wavelengths

Masato Matsuda, Daiki Shimomura, Takeshi Suzuki et al.

2025 · 0 Zit.

Comparative evaluation of large language models for hip fracture-related patient questions: DeepSeek-V3-FW, Gemini 2.0 Flash, and ChatGPT-4.5

Yejin Zhang, Tao Huang, Chaoran Liu et al.

2026 · 0 Zit.