University of Occupational and Environmental Health Japan

Effects of an Artificial Intelligence–Assisted Health Program on Workers With Neck/Shoulder Pain/Stiffness and Low Back Pain: Randomized Controlled Trial

Tomomi Anan, Shigeyuki Kajiki, Hiroyuki Oka et al.

2021 · 118 Zit.

The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs

Tsubasa Mawatari, Yoshiko Hayashida, Shigehiko Katsuragawa et al.

2020 · 44 Zit.

The hope and the hype of artificial intelligence for syncope management

Samuel L. Johnston, Ercole John Barsotti, Konstantinos Bakogiannis et al.

2025 · 3 Zit.

Emulating Visual Evaluations in the Microscopic Agglutination Test with Deep Learning

Risa Nakano, Yuji Oyamada, Ryo Ozuru et al.

2024 · 2 Zit.

Generative AI in peer review process for occupational health

Gim Hui Lim, Mingsong Tan, Victor Chee Wai Hoe et al.

2025 · 2 Zit.

Preparation and Challenges in Developing a Big Data Analysis Framework in Occupational Medicine in Indonesia

Aria Kekalih, Nuri Purwito Adi, Dewi Sumaryani Soemarko

2024 · 2 Zit.

Artificial superintelligence alignment in healthcare

Daiju Ueda, Shannon L. Walston, Ryo Kurokawa et al.

2025 · 0 Zit.

Development and clinical evaluation of an AI-assisted respiratory state classification system for chest X-rays: A BMI-Specific approach

Takeshi Takaki, Ryo Matsuoka, Yuki Fujita et al.

2025 · 0 Zit.