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Caregivers’ Perceptions of Clinical Symptoms, Disease Management, and Quality of Life Impact in Cases of Cyclin-Dependent Kinase-Like 5 Deficiency Disorder: Cross-Sectional Online Survey

Caregivers’ Perceptions of Clinical Symptoms, Disease Management, and Quality of Life Impact in Cases of Cyclin-Dependent Kinase-Like 5 Deficiency Disorder: Cross-Sectional Online Survey

Sam Amin, Carol-Anne Partridge, Helen Leonard, Jenny Downs, Helen Allvin, Valentine Ficara, Emilie Pain, Minna A Korolainen

JMIR Form Res 2025;9:e72489

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Evaluating an AI Chatbot “Prostate Cancer Info” for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study

Evaluating an AI Chatbot “Prostate Cancer Info” for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study

In a recent study by the authors, Owens and Leonard [23] discovered that soliciting plain-language responses from chatbots to Pr CA screening inquiries significantly enhanced the response’s readability. Conversely, credibility was difficult to ascertain because generative AI chatbots do not consistently reference authoritative information sources [23].

Otis L Owens, Michael S Leonard

JMIR Cancer 2025;11:e72522

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Employee Preference and Use of Employee Mental Health Programs: Mixed Methods Study

Employee Preference and Use of Employee Mental Health Programs: Mixed Methods Study

Benedict Sevov, Robin Huettemann, Maximillian Zinner, Sven Meister, Leonard Fehring

JMIR Hum Factors 2025;12:e65750

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Patient Adoption of Digital Use Cases in Family Medicine and a Nuanced Implementation Approach for Family Doctors: Quantitative Web-Based Survey Study

Patient Adoption of Digital Use Cases in Family Medicine and a Nuanced Implementation Approach for Family Doctors: Quantitative Web-Based Survey Study

Julian Beerbaum, Sibylle Robens, Leonard Fehring, Achim Mortsiefer, Sven Meister

JMIR Form Res 2025;9:e58867

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Advancing Privacy-Preserving Health Care Analytics and Implementation of the Personal Health Train: Federated Deep Learning Study

Advancing Privacy-Preserving Health Care Analytics and Implementation of the Personal Health Train: Federated Deep Learning Study

Ananya Choudhury, Leroy Volmer, Frank Martin, Rianne Fijten, Leonard Wee, Andre Dekker, Johan van Soest

JMIR AI 2025;4:e60847

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Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial

Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial

Wu Yi Zheng, Artur Shvetcov, Aimy Slade, Zoe Jenkins, Leonard Hoon, Alexis Whitton, Rena Logothetis, Smrithi Ravindra, Stefanus Kurniawan, Sunil Gupta, Kit Huckvale, Eileen Stech, Akash Agarwal, Joost Funke Kupper, Stuart Cameron, Jodie Rosenberg, Nicholas Manoglou, Manisha Senadeera, Svetha Venkatesh, Kon Mouzakis, Rajesh Vasa, Helen Christensen, Jill M Newby

J Med Internet Res 2025;27:e60413

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Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study

Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study

Sanghwan Kim, Sowon Jang, Borham Kim, Leonard Sunwoo, Seok Kim, Jin-Haeng Chung, Sejin Nam, Hyeongmin Cho, Donghyoung Lee, Keehyuck Lee, Sooyoung Yoo

JMIR Med Inform 2024;12:e67056

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Efficacy of a Mobile App–Based Behavioral Intervention (DRIVEN) to Help Individuals With Unemployment-Related Emotional Distress Return to Work: Protocol for a Randomized Controlled Trial

Efficacy of a Mobile App–Based Behavioral Intervention (DRIVEN) to Help Individuals With Unemployment-Related Emotional Distress Return to Work: Protocol for a Randomized Controlled Trial

Elizabeth C Danielson, Mystie Saturday, Sarah Leonard, Alexandra Levit, Andrea K Graham, Melissa Marquez, Keith Alperin, Stewart A Shankman, James W Griffith

JMIR Res Protoc 2024;13:e62715

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Optimizing Technology-Based Prompts for Supporting People Living With Dementia in Completing Activities of Daily Living at Home: Experimental Approach to Prompt Modality, Task Breakdown, and Attentional Support

Optimizing Technology-Based Prompts for Supporting People Living With Dementia in Completing Activities of Daily Living at Home: Experimental Approach to Prompt Modality, Task Breakdown, and Attentional Support

Madeleine Cannings, Ruth Brookman, Simon Parker, Leonard Hoon, Asuka Ono, Hiroaki Kawata, Hisashi Matsukawa, Celia B Harris

JMIR Aging 2024;7:e56055

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