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Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations

Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations

In the real world, fine needle aspiration (FNA) has long been the favored diagnostic method in the management of suspicious thyroid nodules [5]. Before that, different regions used various Thyroid Imaging, Reporting, and Data System guidelines to screen suspicious thyroid nodules that need to receive further FNA [6,7]. However, the decision process of the Thyroid Imaging, Reporting, and Data System results in a significant number of unnecessary FNAs performed for benign lesions [8].

Jia-Hui Ni, Yun-Yun Liu, Chao Chen, Yi-Lei Shi, Xing Zhao, Xiao-Long Li, Bei-Bei Ye, Jing-Liang Hu, Li-Chao Mou, Li-Ping Sun, Hui-Jun Fu, Xiao-Xiang Zhu, Yi-Feng Zhang, Lehang Guo, Hui-Xiong Xu

JMIR Med Inform 2025;13:e71740

Student Mental Health in UK Higher Education Institutions: Protocol for a Scoping Review of Trends, Gaps, and Research Directions

Student Mental Health in UK Higher Education Institutions: Protocol for a Scoping Review of Trends, Gaps, and Research Directions

These include stigma, fears around confidentiality, culturally insensitive services, long waiting times, and uncertainty about where and how to seek support [22,23]. These issues are further complicated by the devolved nature of health and education policy in the United Kingdom, which has resulted in marked variations in the organization, funding, and delivery of student mental health services across England, Scotland, Wales, and Northern Ireland.

Nicola Cogan, Aja Murray, Emily Long, Maria Gardani, Michelle O'Toole, Menchie Leung, Stella Kyratzi, Jelena Milicev, Katie Dryburgh, Chloe Bolota, Lacey Ho

JMIR Res Protoc 2025;14:e65594

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

Impact of mHealth on Postoperative Quality of Life, Self-Management, and Dysfunction in Patients With Oral and Maxillofacial Tumors: Nonrandomized Controlled Trial

Impact of mHealth on Postoperative Quality of Life, Self-Management, and Dysfunction in Patients With Oral and Maxillofacial Tumors: Nonrandomized Controlled Trial

However, functional rehabilitation is a long-term process, and studies have shown that it usually takes 3‐6 months to recover from the symptoms and dysfunctions that occur in patients with head and neck cancer postoperatively. Therefore, patients need to continue home-based self-exercise to promote functional rehabilitation after discharge from the hospital [6].

Yufei Li, Yueping Wang, Yifan Wu, Hong Yu, Hua Yao, Yuqun Wang, Yulan Yin, Lan Wang, Lili Hou

JMIR Mhealth Uhealth 2025;13:e59926

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

Performance of ChatGPT-4o and Four Open-Source Large Language Models in Generating Diagnoses Based on China’s Rare Disease Catalog: Comparative Study

Performance of ChatGPT-4o and Four Open-Source Large Language Models in Generating Diagnoses Based on China’s Rare Disease Catalog: Comparative Study

Phenotype-based tools and research aimed at prioritizing disease-causing genes in genetic disorders have long been pivotal in the diagnosis of rare diseases [7,49,50]. However, the conversion of natural language into standardized Human Phenotype Ontology terms present a persistent challenge that taxes the knowledge base of clinical physicians, and it is also a process that is both time-consuming and labor-intensive.

Wei Zhong, YiFan Liu, Yan Liu, Kai Yang, HuiMin Gao, HuiHui Yan, WenJing Hao, YouSheng Yan, ChengHong Yin

J Med Internet Res 2025;27:e69929

Effect of Gamification on Improved Adherence to Inhaled Medications in Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial

Effect of Gamification on Improved Adherence to Inhaled Medications in Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial

This raises concerns about whether patients are correctly inhaling their medication over the long term [14,15]. In addition, lengthy and monotonous educational materials may lack appeal for patients with COPD [16]. In clinical practice, medical professionals provide health education manuals [17] and videos demonstrating proper inhaler techniques [18], which result in passive patient education.

Xiting Huang, Zhili Jiang, Yifan Dai, Yang Liu, Ziying Dai, Jing Wang, Liping Chen, Zhiqian Wang, Wenxiao Wu, Lihua Huang

J Med Internet Res 2025;27:e65309