Background: Military veterans may be at increased risk of post-traumatic stress disorder (PTSD) compared to the general population. PTSD is often comorbid with harmful and problematic patterns of gambling. Behavioural therapies such as Acceptance…
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Measures of healthcare quality and equity often overlook when care is delivered, potentially masking important disparities. We present a novel, time-aware approach to detect racial inequities in hospice use among 100,480 Medicare beneficiaries with…
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Medical education faces a scalability crisis, where rising class sizes strain individualized instruction, while students increasingly adopt unvalidated Generative AI (GenAI) tools for individualized learning support. This study investigated how medical students integrate constrained…
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Respiratory circuit events, including fluid accumulation and circuit or cuff leakage during mechanical ventilation, increase ventilator-associated event risks but often go undetected. We developed a convolutional neural network analyzing 57,296 annotated breaths (26,768 training/internal…
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Rheumatoid arthritis (RA) is a heterogeneous disease with variable symptoms, prognosis, and treatment response, necessitating refined patient classification. We applied multimodal deep learning and clustering to identify distinct RA phenotypes using baseline clinical data…
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Background: Drug-Drug Interactions (DDIs) pose significant risks to patient safety and increase healthcare costs. Mobile apps offer potential solutions for managing DDIs, yet their quality and effectiveness from the user’s perspective remains unclear. Objective:…
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Modern network design includes security by default. Network segmentation isolates clinical systems from administrative ones and guest Wi-Fi from patient care devices. This containment strategy limits damage if a breach occurs. Zero-trust architecture requires…
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Multimodal smartphone sensor data provide rich insights into real-world behavioural patterns associated with anxiety and depression symptoms. We propose that variability in daily routines across life aspects may act as a personalised digital marker,…
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Background: Carbohydrate counting (CC) is vital for individuals living with type 1 diabetes mellitus (T1DM), yet formal training is often lacking in many contexts. To bridge this gap, the parents of a person living…
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Overeating contributes to obesity and poses a significant public health threat. The SenseWhy study (2018–2022) monitored 65 individuals with obesity in free-living settings, collecting 2302 meal-level observations (48 per participant), using an activity-oriented wearable…
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