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Event Recap: Finding the Signal Through the Noise in Health Care AI at DCI Network’s AI Conference

Event Recap: Finding the Signal Through the Noise in Health Care AI at DCI Network’s AI Conference

Never losing sight of the “north stars”: Core principles—including safety, equity, and efficacy—should shape and guide innovation in health care AI. Fostering AI literacy with tailored education: To develop and use AI tools safely and effectively, every stakeholder needs to understand what they are.

Kayleigh-Ann Clegg, JMIR Correspondent

J Med Internet Res 2025;27:e85496


Insights Into History and Trends of Teaching and Learning in Stomatology Education: Bibliometric Analysis

Insights Into History and Trends of Teaching and Learning in Stomatology Education: Bibliometric Analysis

Our bibliometric analysis highlights key emerging trends, including deep learning, convolutional neural networks, VR, and surgical accuracy, which are driving innovation in dental education. These developments indicate a growing emphasis on improving diagnostic accuracy, enhancing clinical training, and integrating AI-driven technologies into educational curricula. One notable trend is the increasing application of VR and AI-assisted simulations in surgical education.

Ziang Zou, Linna Guo

JMIR Med Educ 2025;11:e66322


Applying the Human-Centered Innovation Biodesign Framework to the Development and Piloting of a Program to Mitigate Risk for Cognitive Decline Among Historically Underrepresented Individuals: Case Study

Applying the Human-Centered Innovation Biodesign Framework to the Development and Piloting of a Program to Mitigate Risk for Cognitive Decline Among Historically Underrepresented Individuals: Case Study

The purpose of this paper is to show the utility of the human-centered innovation biodesign (IB) framework [11] to develop and test interventions. Specifically, we apply the framework to develop and pilot the Nurturing Aging Through Uplifting Activities in a Restorative Environment (NATURE) program for Hispanic or Latino groups.

Rebecca Lassell, Ada Metaxas, Katherine Wang, Sara Hantgan, Prabhat Gottipati, Sarah Zwerling, Triana Pena, Chava Pollak, Laura Gitlin, Sunit Jariwala

JMIR Form Res 2025;9:e64930


Principles of Industry-Academic Partnerships Informed by Digital Mental Health Collaboration: Mixed Methods Study

Principles of Industry-Academic Partnerships Informed by Digital Mental Health Collaboration: Mixed Methods Study

Due to the pressing societal relevance and growing role of digital innovation, mental health served as the motivating context to develop this guidance. However, the study did not focus on any single diagnostic category. Instead, it examined collaboration across the broader digital mental health sector, which could also be applied more broadly to other health sectors.

Sophie S Hall, Olivia Hastings, Kelly Marie Prentice, Beverley Brown, Jacob Andrews, Sonal Marner, Rebecca Woodcock, Jennifer Martin, Charlotte L Hall

JMIR Ment Health 2025;12:e77439


The Evolution of Medical Student Competencies and Attitudes in Digital Health Between 2016 and 2022: Comparative Cross-Sectional Study

The Evolution of Medical Student Competencies and Attitudes in Digital Health Between 2016 and 2022: Comparative Cross-Sectional Study

The statements were related to 5 themes concerning digital health: (1) the usage of patient-generated information and the role of digital applications in patient care; (2) health information systems; (3) digitalization of the working environment; (4) the changing role of patients and professionals; and (5) the culture of experimentation and readiness to participate in innovation activities. The 5-point Likert-scale responses “Fully agree” and “Somewhat agree” were combined to form the category “Agree.”

Paula Veikkolainen, Timo Tuovinen, Petri Kulmala, Erika Jarva, Jonna Juntunen, Anna-Maria Tuomikoski, Merja Männistö, Teemu Pihlajasalo, Jarmo Reponen

JMIR Med Educ 2025;11:e67423


Building the Infrastructure for Sustainable Digital Mental Health: It Is “Prime Time” for Implementation Science

Building the Infrastructure for Sustainable Digital Mental Health: It Is “Prime Time” for Implementation Science

This disconnect highlights a critical need for more than innovation; infrastructure, sustained commitment, and thoughtful investment are required to integrate digital mental health innovations into routine clinical care.

Gillian Strudwick, Iman Kassam, John Torous, Sean Patenaude

JMIR Ment Health 2025;12:e78791


Understanding Antecedents of Nurses' and Physicians' Workaround Behavior Regarding Hospital Information Systems: Qualitative Interview Study

Understanding Antecedents of Nurses' and Physicians' Workaround Behavior Regarding Hospital Information Systems: Qualitative Interview Study

They have no need to implement innovation quickly and on time. Hence, the current market situation does not incentivize the software provider to optimize the software according to user needs and therefore encourages workarounds. Budgetary decisions in terms of the employed staff, budgetary allocations in infrastructure, intrinsic motivation, or IT- and business strategy were reported to be influential for the occurrence of workarounds.

Eileen Doctor, Jasmin Hennrich, Torsten Eymann, Christoph Buck

J Med Internet Res 2025;27:e51781


Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study

Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study

This innovation operates through four sequential stages: signal acquisition, feature extraction, feature translation, and generating the device output [1]. The effectiveness of a BCI system largely depends on its signal acquisition module, which can range from noninvasive methods, such as surface electroencephalography electrodes, to more invasive approaches like endovascular stent-electrode arrays and electrodes implanted on the brain surface.

Mohammed A Almanna, Lior M Elkaim, Mohammed A Alvi, Jordan J Levett, Ben Li, Muhammad Mamdani, Mohammed Al‑Omran, Naif M Alotaibi

JMIR Form Res 2025;9:e60859