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Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation

Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation

The institutional review board at Stevens Institute of Technology exempted the approval of this secondary data analysis study under protocol 2024-039 (N). All the extracted data were de-identified. The performance of Chat GPT was first evaluated using a seizure semiology database compiled from publicly available studies in published peer-reviewed journals.

Yaxi Luo, Meng Jiao, Neel Fotedar, Jun-En Ding, Ioannis Karakis, Vikram R Rao, Melissa Asmar, Xiaochen Xian, Orwa Aboud, Yuxin Wen, Jack J Lin, Fang-Ming Hung, Hai Sun, Felix Rosenow, Feng Liu

J Med Internet Res 2025;27:e69173

Types of HPV Vaccine Misinformation Circulating on Twitter (X) That Parents Find Most Concerning: Insights From a Cross-Sectional Survey and Content Analysis

Types of HPV Vaccine Misinformation Circulating on Twitter (X) That Parents Find Most Concerning: Insights From a Cross-Sectional Survey and Content Analysis

The caregivers in the study were primarily mothers (n=198, 75%), 67% (n=199) were non-Hispanic White, and 54% (n=142) had a high school education or less. Their children had an average age of 8.96 (SD 0.98) years, and 49% (n=128) were male and 51% (n=135) female (Table 1). Participant characteristics (N=263). Demographic information from a cross-sectional Internet survey of 263 US caregivers.

Jennifer C Morgan, Sarah Badlis, Katharine J Head, Gregory Zimet, Joseph N Cappella, Melanie L Kornides

J Med Internet Res 2025;27:e54657

Effects of the National Institutes of Health Stroke Scale and Modified Rankin Scale on Predictive Models of 30-Day Nonelective Readmission and Mortality After Ischemic Stroke: Cohort Study

Effects of the National Institutes of Health Stroke Scale and Modified Rankin Scale on Predictive Models of 30-Day Nonelective Readmission and Mortality After Ischemic Stroke: Cohort Study

Of these 5808 hospitalizations, 794 (13.7%) were excluded from the study analysis because the patient died during the index hospitalization (n=198, 3.4%), the hospitalization originated at a non-KPNC facility (n=504, 8.7%), or follow-up data was incomplete (n=92, 1.6%). The final study population included 5014 hospitalizations. The average age of the study population was 71.9 (SD 13.99) years and 49.4% (2477/5014) of patients were male.

Mai N Nguyen-Huynh, Janet Alexander, Zheng Zhu, Melissa Meighan, Gabriel Escobar

JMIR Med Inform 2025;13:e69102

Cognitive Behavioral Immersion for Depression: Protocol for a Three-Arm Randomized Controlled Trial of Peer-Based Coaching in the Metaverse

Cognitive Behavioral Immersion for Depression: Protocol for a Three-Arm Randomized Controlled Trial of Peer-Based Coaching in the Metaverse

Thus, a total sample size of 306 (n=102 in each study arm) will be effective for detecting meaningful differences in outcomes between CBI and the other conditions. This study was funded in September 2023. Recruitment of study participants began in February 2024. As of January 2025, 306 participants have been enrolled. Data collection is expected to be completed by September 2025. Data have not yet been analyzed.

Noah Robinson, Francisco N Ramos, Steven D Hollon, Gloria T Han, Iony D Ezawa

JMIR Res Protoc 2025;14:e65970

SEARCH Study: Text Messages and Automated Phone Reminders for HPV Vaccination in Uganda: Randomized Controlled Trial

SEARCH Study: Text Messages and Automated Phone Reminders for HPV Vaccination in Uganda: Randomized Controlled Trial

Messages included both reminders about the needed dose as well as educational information about the importance of the HPV vaccine and were based on a successful previous study [17], as well as 85 key informant interviews with caregivers (n=30), adolescents (n=30), health care workers (n=11), school (n=10), and government officials (n=4). First, team members identified the key content, timing, and framing for each message based on the interviews.

Sabrina B Kitaka, Joseph Rujumba, Sarah K Zalwango, Betsy Pfeffer, Lubega Kizza, Juliane P Nattimba, Ashley B Stephens, Nicolette Nabukeera-Barungi, Chelsea S Wynn, Juliet N Babirye, John Mukisa, Ezekiel Mupere, Melissa S Stockwell

JMIR Mhealth Uhealth 2025;13:e63527

Characterization and Evaluation of Department of Veterans Affairs Commission on Accreditation of Rehabilitation Facilities–Accredited Interdisciplinary Pain Rehabilitation Programs: Protocol for a Mixed Methods Program Evaluation

Characterization and Evaluation of Department of Veterans Affairs Commission on Accreditation of Rehabilitation Facilities–Accredited Interdisciplinary Pain Rehabilitation Programs: Protocol for a Mixed Methods Program Evaluation

Interdisciplinary Pain Rehabilitation Program (IPRP) characteristics. a IPRP: Interdisciplinary Pain Rehabilitation Program. b Not applicable. c Y or N: yes or no. d FTE: full-time employment. e FY: fiscal year. f PROs: patient-reported outcomes. This evaluation will be promoted to IPRPs using multiple approaches. In October 2023, the study author (CAF) informally presented the project and recruitment process at the monthly VA IPRP Co P call.

Jolie N Haun, Christopher A Fowler, Dustin D French, Megan C McHugh, Jacquelyn N Heuer, Lisa M Ballistrea, Rachel C Benzinger, S Angel Klanchar, Friedhelm Sandbrink, Jennifer L Murphy

JMIR Res Protoc 2025;14:e72091

Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation

Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation

A limited number of participants (n=41) performed another round of 2 minutes of CPR after taking a short 10-minute break. When participants were ready to perform CPR after training, they were positioned correctly beside the mannequin, placing their hands on its chest, and initiated CPR compressions upon commencing data collection via the Apple Watch and mannequin.

Gaurav Rao, David W Savage, Gabrielle Erickson, Nathan Kyryluk, Pawan Lingras, Vijay Mago

JMIR Mhealth Uhealth 2025;13:e57469

Effectiveness of Artificial Intelligence–Based Platform in Administering Therapies for Children With Autism Spectrum Disorder: 12-Month Observational Study

Effectiveness of Artificial Intelligence–Based Platform in Administering Therapies for Children With Autism Spectrum Disorder: 12-Month Observational Study

The participants in the intervention group were stratified into 3 developmental groups based on chronological age: Toddler group (n=12): children aged 2‐3 years Preschool group (n=15): children aged 4‐6 years School-aged group (n=8): children aged 7‐8 years The purpose was to assess the impact of the intervention across different developmental ages, considering variations in cognitive, language, and social skills.

Harini Atturu, Somasekhar Naraganti, Bugatha Rajvir Rao

JMIR Neurotech 2025;4:e70589