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Adoption of Large Language Model AI Tools in Everyday Tasks: Multisite Cross-Sectional Qualitative Study of Chinese Hospital Administrators

Adoption of Large Language Model AI Tools in Everyday Tasks: Multisite Cross-Sectional Qualitative Study of Chinese Hospital Administrators

Participants’ identities were protected by assigning codes, which were formatted as S) (site number and local participant number, respectively); for example, code S2 P3 means participant 3 at site 2. Sensitive details were desensitized in demographic data and transcripts to ensure confidentiality. All demographic data, recordings, transcripts, and field notes were securely stored on password-protected flash drives, which were kept in the local principal investigators’ locked drawers.

Jun Chen, Yu Liu, Peng Liu, Yiming Zhao, Yan Zuo, Hui Duan

J Med Internet Res 2025;27:e70789

Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study

Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study

We followed the methods by Yu et al [38] to extract some features from the same Fitbit and survey data, and engineered extra features to accommodate our objectives. Raw data from Fitbit included minute-by-minute steps and heart rate as well as the start time, end time, duration, and efficiency of each sleep period. From raw heart rate data, we computed their average, SD, and sample entropy.

Yufei Shen, Alicia Choto Olivier, Han Yu, Asami Ito-Masui, Ryota Sakamoto, Motomu Shimaoka, Akane Sano

JMIR Form Res 2025;9:e65000

Integrating Virtual Reality, Neurofeedback, and Cognitive Behavioral Therapy for Auditory Verbal Hallucinations (Hybrid): Protocol of a Pilot, Unblinded, Single-Arm Interventional Study

Integrating Virtual Reality, Neurofeedback, and Cognitive Behavioral Therapy for Auditory Verbal Hallucinations (Hybrid): Protocol of a Pilot, Unblinded, Single-Arm Interventional Study

EEG will be acquired using the Muse Headband 2 attached to the Oculus Rift S VR headset. The Muse Headband 2 acquires EEG via 4 electrodes placed over the prefrontal (forehead) and temporal-parietal areas of the brain (electrodes AF7, AF8, TP9, TP10 in the traditional 10-20 electrode system) and collects data at a sampling rate of 500 Hz (with a fifth reference electrode in the position of FPz).

Jessica Spark, Elise Rowe, Mario Alvarez-Jimenez, Imogen Bell, Linda Byrne, Ilvana Dzafic, Carli Ellinghaus, Suzie Lavoie, Jarrad Lum, Brooke McLean, Neil Thomas, Andrew Thompson, Greg Wadley, Thomas Whitford, Stephen Wood, Hok Pan Yuen, Barnaby Nelson

JMIR Res Protoc 2025;14:e63405

Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews

Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews

Reference 137: The value of S-Detect for the differential diagnosis of breast masses on ultrasound: a Reference 139: Diagnostic accuracy of S-Detect to breast cancer on ultrasonography: A meta-analysis (

He-Li Xu, Ting-Ting Gong, Xin-Jian Song, Qian Chen, Qi Bao, Wei Yao, Meng-Meng Xie, Chen Li, Marcin Grzegorzek, Yu Shi, Hong-Zan Sun, Xiao-Han Li, Yu-Hong Zhao, Song Gao, Qi-Jun Wu

J Med Internet Res 2025;27:e53567