Kagoshima University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Foundational Considerations for Artificial Intelligence Using Ophthalmic Images
Michael D. Abràmoff, Brad Cunningham, Bakul Patel et al.
2021 · 86 Zit.
Regulatory-approved deep learning/machine learning-based medical devices in Japan as of 2020: A systematic review
Nao Aisu, Masahiro Miyake, Kohei Takeshita et al.
2022 · 31 Zit.
Japan Ocular Imaging Registry: a national ophthalmology real-world database
Masahiro Miyake, Masato Akiyama, Kenji Kashiwagi et al.
2022 · 12 Zit.
FAIR: a recipe for ensuring fairness in healthcare artificial intelligence
Takashi Yoshiura, Shigeru Kiryu
2023 · 6 Zit.
Regulatory-approved Deep Learning/Machine Learning-Based Medical Devices in Japan as of 2020: A Systematic Review
Nao Aisu, Masahiro Miyake, Kohei Takeshita et al.
2021 · 2 Zit.
Epidemiology and Reporting Characteristics of Systematic Reviews in Orthopedic Journals: A Meta-Epidemiological Study
Norio Yamamoto, Shunsuke Taito, Takanori Miura et al.
2023 · 2 Zit.
Black-box Adversarial Attack against Visual Interpreters for Deep Neural Networks
Yudai Hirose, Satoshi Ono
2023 · 1 Zit.
Validation of objective performance metrics via an intelligent medical network in gynecological oncology robotic surgery
Shintaro Yanazume, Yusuke Kobayashi, Nozomi Furuzono et al.
2025 · 1 Zit.
Artificial superintelligence alignment in healthcare
Daiju Ueda, Shannon L. Walston, Ryo Kurokawa et al.
2025 · 0 Zit.
A deep learning-based prediction model for prognosis of cervical spine injury: a Japanese multicenter survey
Sadayuki Ito, Hiroaki Nakashima, Naoki Segi et al.
2025 · 0 Zit.