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Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

We reviewed 102 surgical pathology reports from 102 patients and excluded reports if they were from other organ sites (n=10), benign (n=2), cytopathology (n=5), or outside review (n=1). We included 84 reports for analysis. The study flowchart is shown in Figure 2. Flowchart of the study design and analysis. *The concordance rate was calculated as the total number of concordant answers/total number of answers for each of the 12 medical question answering (MQA).

Denise Lee, Akhil Vaid, Kartikeya M Menon, Robert Freeman, David S Matteson, Michael L Marin, Girish N Nadkarni

JMIR Form Res 2025;9:e64544

Extended Reality (XR) in Pediatric Acute and Chronic Pain: Systematic Review and Evidence Gap Map

Extended Reality (XR) in Pediatric Acute and Chronic Pain: Systematic Review and Evidence Gap Map

A much smaller number of studies (n=6) examined the utility of VR in chronic pain populations including intensive pain rehabilitation (n=1) [112], chronic burn dressing (n=1) [113], chronic musculoskeletal pain (n=1) [114], chronic cancer-related pain (n=2) [115,116], and chronic abdominal pain (n=1) [117]. See Figure 2 for the summary of pain populations included across the studies.

Courtney W Hess, Brittany N Rosenbloom, Giulia Mesaroli, Cristal Lopez, Nhat Ngo, Estreya Cohen, Carley Ouellette, Jeffrey I Gold, Deirdre Logan, Laura E Simons, Jennifer N Stinson

JMIR Pediatr Parent 2025;8:e63854

Evaluation of the Tu’Washindi Na PrEP Intervention to Reduce Gender-Based Violence and Increase Preexposure Prophylaxis Uptake and Adherence Among Kenyan Adolescent Girls and Young Women: Protocol for a Cluster Randomized Controlled Trial

Evaluation of the Tu’Washindi Na PrEP Intervention to Reduce Gender-Based Violence and Increase Preexposure Prophylaxis Uptake and Adherence Among Kenyan Adolescent Girls and Young Women: Protocol for a Cluster Randomized Controlled Trial

We have randomized 22 administrative wards in a 1:1 ratio and aim to enroll about 72 adolescent girls and young women from each (total N=about 1584) to receive either the Tu’Washindi intervention plus usual HIV prevention services, or usual HIV prevention services alone.

Sarah T Roberts, Alexandra M Minnis, Sue Napierala, Elizabeth T Montgomery, Lina Digolo, Mackenzie L Cottrell, Erica N Browne, Jacqueline Ndirangu, Joyce Boke, Kawango Agot

JMIR Res Protoc 2025;14:e55931

The AI Reviewer: Evaluating AI’s Role in Citation Screening for Streamlined Systematic Reviews

The AI Reviewer: Evaluating AI’s Role in Citation Screening for Streamlined Systematic Reviews

Hence, 121 citations (n=21, 17.4% included and n=100, 82.6% excluded) were tested against predefined eligibility criteria using Chat GPT 3.5 (version September 25, 2023), Chat GPT 4 (version September 25, 2023), Google Bard (version 1.15; released on September 2, 2023), Meta Llama 2 (70b parameters, version 2.1.1; released on October 10, 2023), and Claude AI 2 (version 1.3; released on July 11, 2023). We used descriptive statistics to evaluate sensitivity, specificity, and overall accuracy.

Jamie Ghossein, Brett N Hryciw, Tim Ramsay, Kwadwo Kyeremanteng

JMIR Form Res 2025;9:e58366

School-Partnered Collaborative Care (SPACE) for Pediatric Type 1 Diabetes: Development and Usability Study of a Virtual Intervention With Multisystem Community Partners

School-Partnered Collaborative Care (SPACE) for Pediatric Type 1 Diabetes: Development and Usability Study of a Virtual Intervention With Multisystem Community Partners

SPACEa design team community partner roles (n=17). a SPACE: school-partnered collaborative care. b Numbers add to more than 17 as partners could identify with more than one role. At the initial design meeting, participants generated 141 ideas for the SPACE redesign, of which 94 were unique. Partners assigned a numeric prioritization to ideas, which were then condensed to create a list of unique ideas (Multimedia Appendix 1).

Christine A March, Elissa Naame, Ingrid Libman, Chelsea N Proulx, Linda Siminerio, Elizabeth Miller, Aaron R Lyon

JMIR Diabetes 2025;10:e64096

Multilevel Intervention to Increase Patient Portal Use in Adults With Type 2 Diabetes Who Access Health Care at Community Health Centers: Single Arm, Pre-Post Pilot Study

Multilevel Intervention to Increase Patient Portal Use in Adults With Type 2 Diabetes Who Access Health Care at Community Health Centers: Single Arm, Pre-Post Pilot Study

The sample of completers (n=22) was recruited from 2 clinics, 68% (n=15) from 1 clinic, 32% (n=7) from the other clinic. Refer to Table 1 for demographic characteristics. The sample was predominately Latino or Hispanic (7/22, 77%) had a mean age of 56.32 (SD 10.93) years, 73% (16/22) were female, and 55% (12/22) were married or partnered. The majority reported low-income (86% Consolidated Standards of Reporting Trials (CONSORT) diagram. Participant demographics (n=22).

Robin Whittemore, Sangchoon Jeon, Samuel Akyirem, Helen N C Chen, Joanna Lipson, Maritza Minchala, Julie Wagner

JMIR Form Res 2025;9:e67293

Integration of a Patient-Centered mHealth Intervention (Support-Moms) Into Routine Antenatal Care to Improve Maternal Health Among Pregnant Women in Southwestern Uganda: Protocol for a Randomized Controlled Trial

Integration of a Patient-Centered mHealth Intervention (Support-Moms) Into Routine Antenatal Care to Improve Maternal Health Among Pregnant Women in Southwestern Uganda: Protocol for a Randomized Controlled Trial

In a randomized 3-arm pilot study (N=120) pregnant women who had not presented for ANC by their second trimester were equally randomized to receive (1) standard of care, which is the routine ANC information given at the maternity centers (control); (2) scheduled SMS audio messages from the final messaging prototype (scheduled messaging [SM]); and (3) SM, plus social supporter engagement through SMS (SS) [63].

Esther Cathyln Atukunda, Godfrey Rwambuka Mugyenyi, Jessica E Haberer, Mark J Siedner, Angella Musiimenta, Josephine N Najjuma, Celestino Obua, Lynn T Matthews

JMIR Res Protoc 2025;14:e67049