Pathological Conditions, Signs and Symptoms: News and Research on Death

MeSH tree: C23.550.260

AI models comb patient data to predict cardiac arrest risk

Researchers have developed artificial intelligence (AI) models that can scrutinize electronic health records (EHR) and electrocardiograms to identify individuals in the general population at elevated risk for sudden cardiac ...

Calls to improve drowning prevention efforts for portable pools

A portable swimming pool can often be found in an Australian backyard, but new Griffith University research, conducted in partnership with UNSW Sydney, has discovered many parents and caregivers are unaware of safety requirements ...

AED algorithm could improve location of lifesaving devices

Cedars-Sinai Health Sciences University investigators and colleagues created an algorithm designed to use data on sudden cardiac arrests to determine the best public locations for lifesaving devices called automated external ...

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