e.g. mhealth
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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.
JMIR AI 2025;4:e58454
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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.
JMIR Hum Factors 2025;12:e58095
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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.
JMIR Hum Factors 2025;12:e56798
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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.
J Med Internet Res 2025;27:e60887
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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].
JMIR AI 2025;4:e55277
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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.
JMIR Med Inform 2025;13:e63186
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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.
JMIR Hum Factors 2025;12:e59458
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As smartphone-delivered digital health interventions (DHIs) have a strong potential to meet this need, the purpose of this review is to synthesize the relevant evidence on the most promising intervention approaches, components, and other design and development considerations to provide recommendations for emotion regulation DHI development for adolescents with ADHD. We use a narrative review approach because of the heterogeneity of the relevant evidence base.
JMIR Ment Health 2025;12:e56066
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During the formative stage of app development, we sought to integrate feedback from parents with children in our target age range in order to assess major areas of interest and ways the app could best meet their needs. Using a novel mixed methods approach, we combined concept mapping activities and qualitative interviews to capture the perceptions of parents on app content and features.
JMIR Pediatr Parent 2025;8:e65451
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The regression synthetic estimation method involves several steps: (1) The development of a prediction model of the outcome at the individual level. (2) The coefficients derived from the foregoing model are used with a parallel set of predictors on the area level, using data obtained from CCHS, and coded using the same categories as used to estimate the individual-level model and to compute national and area-level estimates. (3) Internal and external validation.
JMIR Public Health Surveill 2025;11:e66056
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