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Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study

Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study

Gurland et al [29] showed that administering e PROMs on a tablet to 103 patients who are undergoing surgery resulted in a 96% response rate in comparison to 25% with a paper-based collection method. Furthermore, e PROMs have the potential to enhance patient-physician communication by offering real-time pain tracking and avoiding possible recall bias [30].

Prabjit Ajrawat, Blaine Price, Daniel Gooch, Rudolf Serban, Ruqaiya Al-Habsi, Oliver Pearce

JMIR Hum Factors 2025;12:e65271

Examination of Chronic Sorrow Among Parents of Children With Disabilities: Cross-Sectional Study

Examination of Chronic Sorrow Among Parents of Children With Disabilities: Cross-Sectional Study

Studies by Fernandez et al [18] and Fernández-Alcántara et al [24] examined loss and grief (eg, related to loss of the ideal child, a traumatic experience, and shock) in the same population, and the concept of the theory of chronic sorrow emerged there as well. Loss experience among parents is a crucial step that parents undergo to explore their chronic sorrow, eventually leading to acceptance and hope for their child’s future. Disparity is one of the major concepts of the theory of chronic sorrow.

Samaa Al Anazi, Naseem Alhujaili, Dina Sinqali, Ftoon Al Heej, Lojain Al Somali, Samaher Khayat, Talah Ramboo

JMIR Pediatr Parent 2025;8:e65754

Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

Chat GPT also performed well in explaining chest CT and brain MRI reports, as Lyu et al. concluded that the AI-generated explanations efficiently and effectively translated complex information into plain language without direct involvement from a human expert [18]. A so-called “hallucination” refers to any AI-generated output that contains completely fabricated content that is both factually incorrect and unrelated to content from the original MRI report written by the Radiologist.

David C Sing, Kishan S Shah, Michael Pompliano, Paul H Yi, Calogero Velluto, Ali Bagheri, Robert K Eastlack, Stephen R Stephan, Gregory M Mundis Jr

JMIR AI 2025;4:e69654

Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives

Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives

For example, Lim et al [41] compare the perceived accuracy and comprehensiveness of GPT-3.5, GPT-4, and BARD on myopia-related questions. We identify 8 different stakeholders in our sample. Most studies provide insights for physicians (69/114, 60.53%), researchers (32/114, 28.07%), patients (23/114, 20.18%), and students (17/114, 14.91%).

Florian Leiser, Richard Guse, Ali Sunyaev

J Med Internet Res 2025;27:e70315

Effects of a Mobile Storytelling App (Huiyou) on Social Participation Among People With Mild Cognitive Impairment: Pilot Randomized Controlled Trial

Effects of a Mobile Storytelling App (Huiyou) on Social Participation Among People With Mild Cognitive Impairment: Pilot Randomized Controlled Trial

A systematic review and meta-analysis by Di Lorito et al [46] found that such interventions can produce positive effects on cognitive abilities among people with MCI and dementia. Furthermore, Karakose et al [47] conducted a comprehensive bibliometric and science mapping analysis, revealing the evolving landscape of digital addiction research, which is pertinent to understanding user engagement with digital health tools.

Di Zhu, Abdullah Al Mahmud, Wei Liu

JMIR Hum Factors 2025;12:e70177