Nagoya University

Fairness of artificial intelligence in healthcare: review and recommendations

Daiju Ueda, Taichi Kakinuma, Shohei Fujita et al.

2023 · 457 Zit.

The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI

Takeshi Nakaura, Rintaro Ito, Daiju Ueda et al.

2024 · 88 Zit.

Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future

Daiju Ueda, Shannon L. Walston, Shohei Fujita et al.

2024 · 71 Zit.

Ethical implications of AI in robotic surgical training: A Delphi consensus statement

Justin Collins, Hani J. Marcus, Ahmed Ghazi et al.

2021 · 68 Zit.

Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study

Yoichi Sato, Yasuhiko Takegami, Takamune Asamoto et al.

2021 · 60 Zit.

A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019

Rintaro Ito, Shingo Iwano, Shinji Naganawa

2020 · 58 Zit.

The Accuracy and Potential Racial and Ethnic Biases of GPT-4 in the Diagnosis and Triage of Health Conditions: Evaluation Study

N. Ito, Sakina Kadomatsu, Mineto Fujisawa et al.

2023 · 57 Zit.

Regulatory Science on AI-based Medical Devices and Systems

Kiyoyuki Chinzei, Akinobu Shimizu, Kensaku Mori et al.

2018 · 34 Zit.

Generative AI and large language models in nuclear medicine: current status and future prospects

Kenji Hirata, Yusuke Matsui, Akira Yamada et al.

2024 · 22 Zit.

Data set terminology of deep learning in medicine: a historical review and recommendation

Shannon L. Walston, Hiroshi Seki, Hirotaka Takita et al.

2024 · 22 Zit.

High‐quality expert annotations enhance artificial intelligence model accuracy for osteosarcoma X‐ray diagnosis

Joe Hasei, Ryuichi Nakahara, Yujiro Otsuka et al.

2024 · 18 Zit.

Pickled eggs: Generative<scp>AI</scp>as research assistant or co‐author?

Robert M. Davison, Sven Laumer, Monideepa Tarafdar et al.

2023 · 13 Zit.

Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography – a multicenter retrospective cohort study in Japan

Hiromu Tanaka, Tomoki Maetani, Shotaro Chubachi et al.

2023 · 12 Zit.

Artificial Intelligence for Computer Vision in Surgery

Daichi Kitaguchi, Yusuke Watanabe, Amin Madani et al.

2021 · 11 Zit.

Development of meta-prompts for Large Language Models to screen titles and abstracts for diagnostic test accuracy reviews

Yuki Kataoka, Ryuhei So, Masahiro Banno et al.

2023 · 8 Zit.