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Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study

Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study

For example, the University of Pennsylvania’s PORTER platform is a structured reporting system that provides automated lay-language translation of reports, and University of California, San Diego, has implemented a consumer health vocabulary automated translation and embedded hyperlinks for defining key terms [4,13,14]. However, there is a need to find ways to simplify language and avoid jargon to facilitate clear patient communication [4,8,9,9,15,16].

Alexis Sunshine, Grace H Honce, Andrew L Callen, David A Zander, Jody L Tanabe, Samantha L Pisani Petrucci, Chen-Tan Lin, Justin M Honce

JMIR Form Res 2025;9:e76097

Principal Component Analysis of Stair Negotiation and Floor Transition Kinematics in Older Adults With and Without Functional Disability: Cross-Sectional Study

Principal Component Analysis of Stair Negotiation and Floor Transition Kinematics in Older Adults With and Without Functional Disability: Cross-Sectional Study

Kinematic data were collected at a 100 Hz frequency. Stair negotiation was performed in a 4-step staircase (step height: 16 cm, depth: 29 cm, and width: 69 cm; Figure 1). The topmost step of the staircase was labeled “step 4,” and the subsequent steps were labeled “step 3,” “step 2,” and “step 1.”

Juliana Moreira, Ivone da Silva Teles, Bruno Cunha, José Félix, Diana C Guedes, Leonel A T Alves, Rubim Santos, Andreia S P Sousa

JMIR Aging 2025;8:e71530

Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study

Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study

Participants are provided with a webcam, Bluetooth adapter, smartphone stand, tablet stand, or an Android study phone with a data plan, when needed, to enable participation. There are no other technological requirements. A history of prior falls or cognitive impairment does not exclude individuals from participating.

Audrey Hoyt, Casey Dorney, Peggy Auinger, Kathryn Murphy, Michelle Porto, Katrina Schmier, Renee Wilson, James C Beck, Stephanie Benvengo, Kevin Biglan, E Ray Dorsey, Alberto J Espay, Eric A Macklin, Mariana HG Monje, Dan Novak, David Oakes, Larsson Omberg, Michael A Schwarzschild, Solveig K Sieberts, Tanya Simuni, Caroline M Tanner, Daniel Weintraub, Ruth B Schneider

JMIR Res Protoc 2025;14:e71955

Primary Care Clinician Perspectives on Older Adult Chronic Pain Management and Clinical Decision Support: Qualitative Study

Primary Care Clinician Perspectives on Older Adult Chronic Pain Management and Clinical Decision Support: Qualitative Study

“The opioids I use are really a last step. I think obviously they’re good pain medications, but I think you have to target them in the right patients” (Participant 9). “If it’s something that’s limited to a joint or two, I try topical agents to the extent that I can because I’m not only thinking about helping them to mitigate their pain, but also some of the unintended consequences of using something like a non-steroidal” (Participant 11).

Isra Hasnain, Erin M Staab, Ainur Kagarmanova, Marissa Mackiewicz, Mim Ari, Katherine Thompson, Danielle Lazar, Anne Zhao, Glyn Elwyn, Christopher A Harle, Valerie G Press, Neda Laiteerapong

JMIR Form Res 2025;9:e74381

A Novel Approach to Care Redesign Collaboration Between Emergency and Specialty Departments: Qualitative Experience Report

A Novel Approach to Care Redesign Collaboration Between Emergency and Specialty Departments: Qualitative Experience Report

Stanford is a Comprehensive Stroke Center and a Level I Trauma Center. To improve care transitions between emergency services and ambulatory specialty care, the ED first partnered with the Department of Orthopedic Surgery. In June 2022, this partnership implemented a workflow that triaged ED referrals to orthopedic surgery as “routine,” “urgent,” or “immediate,” with specified follow-up timelines; results will be reported elsewhere.

Sonia Rose Harris, Christian Rose, Samantha MR Kling, Brett A Cohen, Olga Goldberg, Hannah Walton, Darlene Veruttipong, Mohamed Alhadha, Sheneé K Laurence, Shashank Ravi, Carl A Gold, Jonathan G Shaw, Laurice Yang, Cati G Brown-Johnson

JMIR Form Res 2025;9:e22028

Evaluating a Digital Intervention to Reduce Aggression and Pro-Firearm Violence Attitudes Among Young Black Males: Pretest-Posttest Feasibility Study

Evaluating a Digital Intervention to Reduce Aggression and Pro-Firearm Violence Attitudes Among Young Black Males: Pretest-Posttest Feasibility Study

The broader Brotherly ACT app also includes additional features such as (1) a safety planning toolkit with interactive tools for mood tracking, risk assessment, mindfulness exercises, goal setting, and a zip code–enabled directory of local mental health services, community support resources, and violence prevention programs within a 50-mile (80.47 km) radius; and (2) service engagement and talk therapy via an artificial intelligence–powered chatbot named DEVON, a confidential and programmed resource for discussing

Chuka Emezue, Jessica Bishop-Royse, Andrew Froilan, Tara Wilkes, Niranjan S Karnik, Wrenetha A Julion

JMIR Pediatr Parent 2025;8:e70048

A Novel Mobile Health App to Educate and Empower Young Adults With Type 1 Diabetes to Exercise Safely: Prospective Single-Arm Pre-Post Noninferiority Clinical Trial

A Novel Mobile Health App to Educate and Empower Young Adults With Type 1 Diabetes to Exercise Safely: Prospective Single-Arm Pre-Post Noninferiority Clinical Trial

Previously analyzed data collected as part of a longitudinal randomized controlled trial [24], in a sample of 12 to 25-year-old participants, along with data collected in a pilot study [23], were used to inform parameters of the sample size power calculation. Given the (1) estimated rate of hypoglycemic events All participants were required to complete the study intervention over a 12-week period during school terms to ensure minimal variation for both children and adolescent participants.

Vinutha Beliyurguthu Shetty, Rachel Lim, Shaun Teo, Wayne H K Soon, Heather C Roby, Alison G Roberts, Grant J Smith, Paul A Fournier, Timothy W Jones, Elizabeth A Davis

JMIR Diabetes 2025;10:e68694

Online Resources for Hidradenitis Suppurativa for Patient Use: Systematic Search and Analysis

Online Resources for Hidradenitis Suppurativa for Patient Use: Systematic Search and Analysis

A systematic search of Google and Bing was conducted using the term hidradenitis suppurativa in an incognito browser with location services disabled. Searches were performed on the same day to minimize discrepancies due to search algorithm changes. Twenty results were obtained from each search engine. Advertisements, duplicate content, paywalled articles, and incomplete sources were screened out, leaving a combined 20 websites for analysis.

Emily Sheetz, Aryn A Alanizi, Joshua Edwards, Alice A Roberts

JMIR Dermatol 2025;8:e72773

Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review

Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review

The diagnostic process is a core task of general practitioners (GPs). However, making a diagnosis may be a challenging task given the diversity, complexity, and early presentation of symptoms. Clinical prediction models are intended to improve the diagnostic process [1]. These models can support the health care provider by predicting serious illness [2]. In the last years, the interest in artificial intelligence (AI) techniques for the development of prediction models has been growing [3,4].

Liesbeth Hunik, Asma Chaabouni, Twan van Laarhoven, Tim C Olde Hartman, Ralph T H Leijenaar, Jochen W L Cals, Annemarie A Uijen, Henk J Schers

JMIR Med Inform 2025;13:e62862