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The Digital Library of Health Care Consultations and Simulated Health Care Student Teaching: Protocol for a Repository of Recordings to Support Communication Research

The Digital Library of Health Care Consultations and Simulated Health Care Student Teaching: Protocol for a Repository of Recordings to Support Communication Research

Health care consumer surveys (pre- and postconsultation): Health care consumers will be asked to complete a survey before their consultation detailing their demographics, reason for visit, and how long they have known the clinician. Post consultation, they will be asked to complete a survey detailing their consultation experience, including whether they felt respected, felt listened to, and had enough time (Multimedia Appendix 1).

Elizabeth Ann Sturgiss, Kimberley Norman, Terry Haines, Katrina Long, Suzanne Nielsen, Jenny Sim, Aron Shlonsky, Brendan Shannon, Cylie Williams

JMIR Res Protoc 2025;14:e67910

Exploring the Potential of Electroencephalography Signal–Based Image Generation Using Diffusion Models: Integrative Framework Combining Mixed Methods and Multimodal Analysis

Exploring the Potential of Electroencephalography Signal–Based Image Generation Using Diffusion Models: Integrative Framework Combining Mixed Methods and Multimodal Analysis

Later, EEG-GAN [18] introduced the first EEG-based image generation model using long short-term memory [24] to extract EEG features and guide the GAN’s image generation process. Several works based on GANs, such as Thought Viz [25], visual-guided GAN with visual-consistent term [26], Brain Media [27], and EEG2 IMAGE [16], have emerged, each focusing on improving the interaction between the EEG encoder and the GAN architecture.

Chi-Sheng Chen, Shao-Hsuan Chang, Che-Wei Liu, Tung-Ming Pan

JMIR Med Inform 2025;13:e72027

Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study

Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study

All reviewers completed a week-long training on systematic reviews to ensure a consistent understanding of Ro B2. Three reviewers (WZ, DX, and CB) initially conducted independent judgments of 46 RCTs using standardized criteria, recording the time taken for the judgments. All results were resolved through consensus. We randomly selected 3 evaluation results from each category to construct the prompt, which were used as benchmarks to assess the accuracy of the answers generated by the LLMs.

Jiajie Huang, Honghao Lai, Weilong Zhao, Danni Xia, Chunyang Bai, Mingyao Sun, Jianing Liu, Jiayi Liu, Bei Pan, Jinhui Tian, Long Ge

J Med Internet Res 2025;27:e70450

Family Experiences, Needs, and Perceptions in Home-Based Hospice Care for Patients With Terminal Cancer: Meta-Synthesis and Systematic Review

Family Experiences, Needs, and Perceptions in Home-Based Hospice Care for Patients With Terminal Cancer: Meta-Synthesis and Systematic Review

For example, a 64-year-old daughter noted: “It didn’t take long to learn how to care for Mum. Being a mother and a wife, it was easy enough to pick up those skills, so there were no problems. I could go into nursing now (laughs); I’ve had practical experience” [32]. Similarly, a 75-year-old wife reflected on her experience: “There was no issue for me in knowing how to care for my husband. I kept him clean, the bed clean, and his pyjamas were fresh every day. It was really no problem for me” [32].

Xin Ming Deng, Kanokwan Hounsri, Violeta Lopez, Wilson Wai-San Tam

JMIR Cancer 2025;11:e71596

Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts

Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts

It is not possible to evaluate the clinical impact of these models due to the costs and ethical reasons associated with long-term follow-up and allowing children to develop obesity without intervention. Moreover, widespread obesity stigma and the reluctance to label children as having obesity further impede the clinical integration of existing obesity risk models [10,11].

Miaobing Zheng, Yuxin Zhang, Rachel A Laws, Peter Vuillermin, Jodie Dodd, Li Ming Wen, Louise A Baur, Rachael Taylor, Rebecca Byrne, Anne-Louise Ponsonby, Kylie D Hesketh

JMIR Public Health Surveill 2025;11:e69220

Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study

Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study

Patients with sepsis experience hospital stays twice as long as those with other conditions, and the incidence of severe sepsis continues to rise by 13% annually [4]. Early detection is critical to reducing mortality; yet, current diagnostic methods lack accuracy and real-time capability [5]. The multifactorial characteristics of sepsis increase the difficulty of early diagnosis, and the specificity of its diagnostic indicators is relatively low, which is prone to cause misdiagnosis [6].

Mingwei Zhang, Ming Zhong, Yunzhang Cheng, Tianyi Zhang

JMIR Med Inform 2025;13:e74940