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Digital Health, Telehealth and e-Innovation in Clinical Settings e-Cardiology and Telemonitoring in Cardiology
JMIR Cardio 2025;9:e66436
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Performance comparison on a publicly sourced data cohort between ZSP and FSP using Chat GPT-4: (A) NPIR distribution; (B) and (C) RSens.
Figures 3 B and 3 C present the RSens values for each region. For the frontal lobe, GPT-4 ZSP achieved 0.90, and FSP achieved 0.88. For the temporal lobe, ZSP achieved 0.81, and FSP achieved 0.83. For the occipital lobe, both ZSP and FSP achieved 0.42. For the parietal lobe, ZSP achieved 0.26, and FSP achieved 0.22.
J Med Internet Res 2025;27:e69173
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Public (e)Health, Digital Epidemiology and Public Health Informatics
J Med Internet Res 2025;27:e72822
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Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients
C: Line chart showing average walking speed across a week both indoors and outdoors to indicate balance.
A summary of the insights gained from participants during round 2.
“Easy to understand, maybe brighter colours would make it easier to read. I like that it spans across a week as MS can change day to day.”
JMIR Form Res 2025;9:e68782
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This is also supported by the ongoing shift to e-learning methods in emergency medicine established by the COVID-19 pandemic [21].
The secondary outcome of our study is to assess the effectiveness of telesimulation of HALO procedures and clinical encounters delivered asynchronously versus synchronously in enhancing learning outcomes for physicians and medical trainees in emergency medicine.
JMIR Res Protoc 2025;14:e53565
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