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Skip search results from other journals and go to results- 1381 Journal of Medical Internet Research
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Tre C stands for cartella clinica del cittadino (citizen’s medical record) and is a reliable and well-tested platform designed to be a “system of systems” rather than a simple data hub. The central pillar of the Tre C platform is the role of the citizen or as the manager of their health-related data, as in the case of a personal health record.
JMIR Res Protoc 2025;14:e53891
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Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health
The role and use of the social construct of race within health-related artificial intelligence (AI) and machine learning (ML) models have become a subject of increased attention and controversy. As noted in the National Academies’ recent report “Ending Unequal Treatment,” it is increasingly clear that race in all its complexity is a powerful predictor of unequal treatment and health care outcomes [1].
J Med Internet Res 2025;27:e73996
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Hypertension has remained a public health concern in the American adult population. Hypertension, defined as systolic blood pressure (BP) ≥130 mm Hg or diastolic BP ≥80 mm Hg or both, has a prevalence of 46.7%, and control (systolic BP
Over the years, several models and scales of e-HL have been proposed to measure e-HL [6-20]. There is currently no gold standard for e-HL measurement.
J Med Internet Res 2025;27:e71926
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This might lead to a potential bias if recordings of both classes were done in different rooms (ie, recording participants with depression in a clinic and those with depression in an office or studio) as room acoustics have a significant impact on voice recordings [18].
JMIR Res Protoc 2025;14:e60439
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According to the World Health Organization (WHO), the term “e Health” focuses on using information and communication technologies in health care, while “digital health” serves as a broader umbrella term that also encompasses advanced computer sciences such as artificial intelligence. Furthermore, the term “m Health,” a subset of e Health, is defined as “the use of mobile wireless technologies for health” [2].
JMIR Med Educ 2025;11:e67423
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Allergic rhinitis, another common condition, often develops early in life, with a prevalence of 8.5% at ages 6‐7, rising to 14.6% in those aged 13‐14 years old [6]. The symptoms of allergic rhinitis have a profound negative impact on children’s physical and emotional health, sleep quality, and daily activities [7].
JMIR Pediatr Parent 2025;8:e73531
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Advancing the Integration of Digital Health Technologies in the Drug Development Ecosystem
The color scheme difference for certain elements is to highlight the applicability of a subcomponent framework to a major category represented by the bigger rectangle.
The reliable utilization of DHT for clinical investigation hinges highly on the verification and validation of the process used to generate the necessary data and its subsequent processing. A major component of this process is DHT-related testing and validation.
J Med Internet Res 2025;27:e67052
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Survey cities were selected to include 3 of the most populous cities in Zambia, which have a high number of people who use drugs according to PSEs from a prior study [6]. Each city has a different typology, with Livingstone serving as a major tourist destination and border town, the capital Lusaka serving as the economic and industrial hub of the country, and Ndola serving as a gateway to the Copperbelt province and mining region.
JMIR Public Health Surveill 2025;11:e66551
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When patients were scheduled close to a preoperative visit or DOS, a research staff member obtained written assent from patients and consent from their parent/guardian on the preoperative visit day, typically the day before or a few days before the DOS.
Surgical patients received a Fitbit device and account information at the end of their consent meeting on their preoperative visit day. Those who consented via e Consenting received a mailed Fitbit device and account information.
JMIR Form Res 2025;9:e59074
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In a retrospective cohort study that examined longitudinal cigarette smoking behaviors of Indigenous people in Olmsted County, Minnesota—a county without access to Indian Health Service clinics or hospitals—the magnitude of racial misclassification in electronic health record (EHR) data became an unexpected hurdle for the study team [3]. Most AI/AN people reside in urban areas or off reservation lands [4]. Understanding this population’s health behaviors is critical to informing interventions.
J Med Internet Res 2025;27:e73086
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