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Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study

Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study

A total of 200 patients with a mean age of 56.44 years (range: 21‐84 y) participated. Of these patients, 67% had comorbid conditions such as hypertension, diabetes mellitus, and ischemic heart disease. The demographic profile of the participants is given in Table 1. Demographic profile of patients (N=200). a SBP: systolic blood pressure. b DBP: diastolic blood pressure. We defined hypertension according to the European Society of Hypertension (ESH) guidelines [25].

Selene Y L Tan, Jia Xin Chai, Minwoo Choi, Umair Javaid, Brenda Pei Yi Tan, Belinda Si Ying Chow, Hairil Rizal Abdullah

JMIR Form Res 2025;9:e60455

Using Virtual Reality to Enhance Surgical Skills and Engagement in Orthopedic Education: Systematic Review and Meta-Analysis

Using Virtual Reality to Enhance Surgical Skills and Engagement in Orthopedic Education: Systematic Review and Meta-Analysis

Notably, while all incorporated studies reported participant age and intervention duration in tabular formats, significant heterogeneity was observed in these variables (eg, age range: 21.16‐35.42 y and intervention duration: 3 d to 32 mo). Although the authors conducted sensitivity analyses, these failed to identify the sources of heterogeneity. In addition, publication bias assessments confirmed that a subset of studies exhibited publication bias.

Ting Li, Jingxin Yan, Xin Gao, Hangyu Liu, Jin Li, Yuanting Shang, Xiaoyu Tang

J Med Internet Res 2025;27:e70266

Application of the Bidirectional Encoder Representations from Transformers Model for Predicting the Abbreviated Injury Scale in Patients with Trauma: Algorithm Development and Validation Study

Application of the Bidirectional Encoder Representations from Transformers Model for Predicting the Abbreviated Injury Scale in Patients with Trauma: Algorithm Development and Validation Study

The loss during fine-tuning is defined as: where yi is the true category index of the ith sample, and y^i,yi is the probability that the ith sample predicted by the model belongs to category yi. After a careful hyperparameter search, we determined the optimal model configuration: an 8-layer BERT architecture including an input layer, six 384-unit hidden layers, and an output layer, which together form the encoder-decoder transformer components with 5 transformer blocks.

Jun Tang, Yang Li, Keyu Luo, Jiangyuan Lai, Xiang Yin, Dongdong Wu

JMIR Form Res 2025;9:e67311