Search Articles

View query in Help articles search

Search Results (1 to 10 of 1057 Results)

Download search results: CSV END BibTex RIS


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

Digital Health Platform for Maternal Health: Design, Recruitment Strategies, and Lessons Learned From the PowerMom Observational Cohort Study

Digital Health Platform for Maternal Health: Design, Recruitment Strategies, and Lessons Learned From the PowerMom Observational Cohort Study

Of the 1106 (21.1%) participants who reported at least one previous pregnancy and a complication, the most commonly reported pregnancy complications were miscarriage (n=637), preterm birth (n=250), and high blood pressure (n=234).

Toluwalase Ajayi, Jacqueline Kueper, Lauren Ariniello, Diana Ho, Felipe Delgado, Matthew Beal, Jill Waalen, Katie Baca Motes, Edward Ramos

JMIR Form Res 2025;9:e70149

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

Perspectives of Adolescents and Young Adults With Inflammatory Bowel Disease on a Biopsychosocial Transition Intervention: Qualitative Interview Study

Perspectives of Adolescents and Young Adults With Inflammatory Bowel Disease on a Biopsychosocial Transition Intervention: Qualitative Interview Study

Participant characteristics (N=21). a Response categories based on participants’ language. b Multiple response options were possible. c IBDU: inflammatory bowel disease type unclassified. d UC: ulcerative colitis. e IBD: inflammatory bowel disease. Adolescents and young adults expressed a range of reflections on the meaning of the transition from pediatric to adult health care.

Brooke Allemang, Ashleigh Miatello, Mira Browne, Melanie Barwick, Pranshu Maini, Joshua Eszczuk, Chetan Pandit, Tandeep Sadhra, Laura Forhan, Natasha Bollegala, Nancy Fu, Kate Lee, Emily Dekker, Irina Nistor, Sara Ahola Kohut, Laurie Keefer, Anne Marie Griffiths, Thomas D Walters, Samantha Micsinszki, David R Mack, Sally Lawrence, Karen I Kroeker, Jacqueline de Guzman, Aalia Tausif, Claudia Tersigni, Samantha J Anthony, Eric I Benchimol

JMIR Pediatr Parent 2025;8:e64618

Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study

Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study

One UK study surveyed men who had undergone a prostate biopsy (N=1276) and reported that respondents were mostly supportive of AI as a diagnostic companion to professional decision-making (1058/1276, 83%) [29]. However, more widely, there have been documented concerns from the public about an overreliance on AI in health care at the expense of human involvement [30,31] and uncertainty about the delegation of clinical responsibilities to machines and systems [32,33].

Claire Lewis, Jenny Groarke, Lisa Graham-Wisener, Jacqueline James

J Med Internet Res 2025;27:e59591

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

Consumer Engagement With Risk Information on Prescription Drug Social Media Pages: Findings From In-Depth Interviews

Consumer Engagement With Risk Information on Prescription Drug Social Media Pages: Findings From In-Depth Interviews

Most study participants self-identified as male (n=33, 61%). Of the 36 participants assigned to view Facebook stimuli, 44% (n=16) were in the “adult” segment (18-61 years of age), and 56% (n=20) were considered “older adults” (62 years of age or older). The 18 participants assigned to view Instagram stimuli were evenly split into the “younger adult” (18-24 years of age) and “adult” (25 years of age or older) segments.

Jacqueline B Amoozegar, Peyton Williams, Kristen C Giombi, Courtney Richardson, Ella Shenkar, Rebecca L Watkins, Amie C O'Donoghue, Helen W Sullivan

J Med Internet Res 2025;27:e67361