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Co-Designed Online Training Program for Worry Management: The Role of Young People With Lived Experience of Worry in Program Development

Co-Designed Online Training Program for Worry Management: The Role of Young People With Lived Experience of Worry in Program Development

We obtained feedback on the content, look, and feel of the online training program over different phases of development, with the goals of maximizing potential user satisfaction and engagement of the target population when they are offered the finalized version of the online training. LEAP members’ involvement was made up of 4 phases. The aim of phase 1 was to develop session content.

Jessica Steward, Michelle L Moulds, Colette R Hirsch

JMIR Form Res 2025;9:e66461

Design, Application, and Actionability of US Public Health Data Dashboards: Scoping Review

Design, Application, and Actionability of US Public Health Data Dashboards: Scoping Review

The findings summarized in Table 1 also demonstrate that most of the dashboards studied were funded by US government health agencies (eg, Centers for Disease Control and Prevention [CDC], National Institutes of Health, and Agency for Healthcare Research and Quality), followed by universities and foundations, with grants being the most common mechanism for funding the development and deployment of public health dashboards (39/89, 44%).

Gretchen Stahlman, Itzhak Yanovitzky, Miriam Kim

J Med Internet Res 2025;27:e65283

Transformer-Based Language Models for Group Randomized Trial Classification in Biomedical Literature: Model Development and Validation

Transformer-Based Language Models for Group Randomized Trial Classification in Biomedical Literature: Model Development and Validation

Large language models represent an ideal choice for the development of biomedical text classifiers due to their capacity to grasp the contextual nuances within the data. Pretrained transformer language models, like bidirectional encoder representations from transformers (BERT) [16-18], have outperformed the existing deep neural network models, including convolutional neural networks and recurrent neural networks.

Elaheh Aghaarabi, David Murray

JMIR Med Inform 2025;13:e63267

A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis

A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis

In this manuscript we describe the development of a novel comprehensive postpartum conversational agent, which uses natural language processing (NLP) to provide anticipatory guidance and respond to patients’ questions in real time. We also describe patient engagement and satisfaction with this novel technology.

Kirstin Leitner, Clare Cutri-French, Abigail Mandel, Lori Christ, Nathaneal Koelper, Meaghan McCabe, Emily Seltzer, Laura Scalise, James A Colbert, Anuja Dokras, Roy Rosin, Lisa Levine

JMIR AI 2025;4:e58454

Digital Health Intervention for Patient Monitoring in Immune-Mediated Inflammatory Diseases: Cocreation and Feasibility Study of the IMIDoc Platform

Digital Health Intervention for Patient Monitoring in Immune-Mediated Inflammatory Diseases: Cocreation and Feasibility Study of the IMIDoc Platform

The subsequent “development phase” involved the technical and development teams, who adhered to Agile methodologies, fostering a dynamic collaboration between clinicians and engineers [7]. Central to this phase was a rigorous evaluation of pivotal factors influencing technology selection, the formulation of user profiles, as well as the definition and development of the functionalities to be incorporated into the digital solution.

Diego Benavent, Jose M Iniesta-Chamorro, Marta Novella-Navarro, Miguel Pérez-Martínez, Nuria Martínez-Sánchez, Mónica Kaffati, Manuel Juárez-García, Marina Molinari-Pérez, Andrea González-Torbay, Mariana Gutiérrez, Natalia López-Juanes, Victoria Navarro-Compán, Irene Monjo-Henry, Germán Rodríguez-Rosales, Javier Bachiller, Enrique Calvo-Aranda, Xabier Michelena, Laura Berbel-Arcobé, Alejandro Balsa, IMIDOC Research Team, Enrique J Gómez, Chamaida Plasencia-Rodríguez

JMIR Hum Factors 2025;12:e58095

Perception and Evaluation of a Knowledge Transfer Concept in a Digital Health Application for Patients With Heart Failure: Mixed Methods Study

Perception and Evaluation of a Knowledge Transfer Concept in a Digital Health Application for Patients With Heart Failure: Mixed Methods Study

Furthermore, patients with heart failure are hardly involved in the development process of mobile health interventions. Thus, the aim of this work was to develop a concept for a sustainable and engaging knowledge transfer with a specific focus on the needs and preferences of patients with heart failure.

Madeleine Flaucher, Sabrina Berzins, Katharina M Jaeger, Michael Nissen, Jana Rolny, Patricia Trißler, Sebastian Eckl, Bjoern M Eskofier, Heike Leutheuser

JMIR Hum Factors 2025;12:e56798

Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence

Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence

The current standard for monitoring growth and development during early pregnancy is the crown-rump length (CRL). Early measurements of the CRL are used in standard clinical practice to estimate gestational age. Moreover, CRL measurements can be used to predict miscarriages and are associated with estimated fetal weight, birth weight, and adverse pregnancy outcomes [1-5]. Volumetric measurements of the human embryo during early pregnancy are a novel way to assess growth and development.

Wietske A P Bastiaansen, Stefan Klein, Batoul Hojeij, Eleonora Rubini, Anton H J Koning, Wiro Niessen, Régine P M Steegers-Theunissen, Melek Rousian

J Med Internet Res 2025;27:e60887

Creation of Scientific Response Documents for Addressing Product Medical Information Inquiries: Mixed Method Approach Using Artificial Intelligence

Creation of Scientific Response Documents for Addressing Product Medical Information Inquiries: Mixed Method Approach Using Artificial Intelligence

The development and maintenance of SRDs are entrusted to the medical information department within these organizations. This department is composed of medical experts who possess in-depth knowledge of specific therapeutic areas and are responsible for various strategic activities, including the meticulous development of SRDs [2]. SRDs are tailored to address specific inquiries, presenting a concise summary, relevant background information, clinical data, and scientifically balanced references [1].

Jerry Lau, Shivani Bisht, Robert Horton, Annamaria Crisan, John Jones, Sandeep Gantotti, Evelyn Hermes-DeSantis

JMIR AI 2025;4:e55277

The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study

The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study

Additionally, the “Opinions on Promoting High-Quality Development of Public Hospitals” issued by the State Council Office in May 2021, emphasized cardiovascular and cerebrovascular diseases as key clinical specialties for the high-quality development of public hospitals.

Shumei Miao, Pei Ji, Yongqian Zhu, Haoyu Meng, Mang Jing, Rongrong Sheng, Xiaoliang Zhang, Hailong Ding, Jianjun Guo, Wen Gao, Guanyu Yang, Yun Liu

JMIR Med Inform 2025;13:e63186

On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review

On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review

This is including, but not limited to, development and deployment of disease diagnosis and progression analysis, fall detection and prevention, lifestyle monitoring, vital-sign monitoring, and smart-home systems. Candidate papers must present methods that have the prospect of or are already actively being tested in an at-home environment in whole or in part.

Chris Lochhead, Robert B Fisher

JMIR Hum Factors 2025;12:e59458