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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.
J Med Internet Res 2025;27:e85496
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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.
JMIR Med Educ 2025;11:e66322
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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.
JMIR Form Res 2025;9:e64930
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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.
JMIR Ment Health 2025;12:e77439
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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.”
JMIR Med Educ 2025;11:e67423
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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.
JMIR Ment Health 2025;12:e78791
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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.
J Med Internet Res 2025;27:e51781
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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.
JMIR Form Res 2025;9:e60859
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