Keio University

Fairness of artificial intelligence in healthcare: review and recommendations

Daiju Ueda, Taichi Kakinuma, Shohei Fujita et al.

2023 · 457 Zit.

The now and future of <scp>ChatGPT</scp> and <scp>GPT</scp> in psychiatry

Szu‐Wei Cheng, Chung‐Wen Chang, Wan‐Jung Chang et al.

2023 · 179 Zit.

Artificial Intelligence Is Trusted Less than a Doctor in Medical Treatment Decisions: Influence of Perceived Care and Value Similarity

Ryosuke Yokoi, Yoko Eguchi, Takanori Fujita et al.

2020 · 105 Zit.

Personality Traits in Large Language Models

Gregory Serapio‐García, Mustafa Safdari, Clément Crepy et al.

2023 · 93 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.

Performance of the Large Language Model ChatGPT on the National Nurse Examinations in Japan: Evaluation Study

Kazuya Taira, Takahiro Itaya, Ayame Hanada

2023 · 78 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.

Bridging the Gap Between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems

Changhee Han, Leonardo Rundo, Kohei Murao et al.

2020 · 46 Zit.

Use of artificial intelligence large language models as a clinical tool in rehabilitation medicine: a comparative test case

Liang Zhang, Syoichi Tashiro, Masahiko Mukaino et al.

2023 · 38 Zit.

Toward global standardization of conducting fair investigations of allegations of research misconduct

Rei Nouchi, H. Aihara, Fumie Arie et al.

2020 · 31 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.

Assessing the Reproducibility of the Structured Abstracts Generated by ChatGPT and Bard Compared to Human-Written Abstracts in the Field of Spine Surgery: Comparative Analysis

Hong Jin Kim, Jae Hyuk Yang, Dong‐Gune Chang et al.

2024 · 17 Zit.

A Learning Program for Treatment Recommendations by Molecular Tumor Boards and Artificial Intelligence

Kuniko Sunami, Yoichi Naito, Yusuke Saigusa et al.

2023 · 12 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.

Application of Artificial Intelligence in the Headache Field

Keiko Ihara, Gina Dumkrieger, Pengfei Zhang et al.

2024 · 12 Zit.