AI Mental Health Tools May Overlook the Patients Most at Risk, Study of 7.19 Million Adults Finds
A population-based analysis of 7.19 million English adults with multiple long-term conditions reveals that AI mental health tools cover only ...
A population-based analysis of 7.19 million English adults with multiple long-term conditions reveals that AI mental health tools cover only ...
A 20-year survey study in JAMA Network Open finds that many US hospitals still lack the most effective catheter safety ...
A George Mason statistician has received FDA funding to develop regulatory-grade frameworks that quantify how record linkage errors affect the ...
Sleep medicine researchers have issued a detailed methodological defense of their 25-year VA cohort study linking narcolepsy to elevated mortality, ...
A pre-post study at Mount Sinai found that standardized documentation templates and training cut internal medicine residents' per-visit documentation time ...
Three University of Michigan studies show that well-designed electronic health record alerts can prompt faster, guideline-based treatment decisions for critically ...
A study of more than 20,000 safety-net patients in the Bronx found that transportation-related delayed care, not food insecurity or ...
The Mount Sinai Tisch Cancer Center has deployed real-time EHR-to-EDC technology across all 16 of its cancer disease groups, cutting ...
A new study using the NIH All of Us database maps the demographic characteristics and comorbidity associations of chronic hand ...
A Stanford-led analysis of electronic health records finds that the type of insurance a dermatitis patient holds is associated with ...
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© 2025 Scienmag - Science Magazine