Medication adherence is crucial for slowing chronic kidney disease (CKD) progression. A specially designed pharmacist-led mobile application, Kidney Health, was evaluated in a single-center, prospective, 3 months, randomized controlled trial (RCT) to assess its…
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Imaging is crucial to assess disease extent, activity, and outcomes in inflammatory bowel disease (IBD). Artificial intelligence (AI) image interpretation requires automated exploitation of studies at scale as an initial step. Here we evaluate…
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This scoping review aims to identify regulator-approved ophthalmic image analysis artificial intelligence as a medical device (AIaMD) in three jurisdictions, examine their characteristics and regulatory approvals, and evaluate the available evidence underpinning them, as…
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Artificial intelligence (AI)-ECG-derived age (AI-ECG age) and Heart Delta Age (HDA)—the difference between AI-ECG and chronological age—are emerging tools for assessing cardiovascular health. We systematically searched PubMed, Embase, Web of Science, and Scopus from…
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Suicide rates are rising in the U.S., prompting interest in contributing factors like smartphone use. While screen time has been linked to mental health, its role in suicide risk is unclear. This study examined…
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To assess if remote patient monitoring (RPM) programs for chronic conditions are positioned to advance equity through inclusive practices, 119 papers were evaluated against 11 multi-level equity parameters. Equity parameters were inconsistent and incompletely…
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Artificial intelligence (AI) models are promising tools for predicting antimicrobial susceptibility in gram-negative bloodstream infections (GN-BSI). Single-center study on hospitalized patients with GN-BSI, over 7-year period, aimed to predict resistance to fluoroquinolones (FQ-R), third…
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Ultrasound assessment of fetal size and growth is the mainstay of monitoring fetal well-being during pregnancy, as being small for gestational age (SGA) or large for gestational age (LGA) poses significant risks for both…
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Millions of shift workers in the U.S. face an increased risk of depression, cancer, and metabolic disease, yet individual responses to shift work vary widely. We find that a conserved biological system of morning…
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