Researchers at Children’s Hospital of Philadelphia (CHOP) have developed a new algorithm that can track the epidemiology of sepsis among pediatric patients, allowing for more accurate data collection ...

A retrospective case-control study found that an electronic health record based neonatal sepsis screening tool achieved 81 ...

A machine-learning algorithm has the capability to identify hospitalized patients at risk for severe sepsis and septic shock using data from electronic health records (EHRs), according to a new study.

Hospital patients are at risk of a number of life-threatening complications, especially sepsis—a condition that can kill within hours and contributes to one out of three in-hospital deaths in the U.S.

More than one million adults survive sepsis in the United States every year, yet the weeks and months that follow hospital ...

For a patient with sepsis – which kills more Americans every year than AIDS and breast and prostate cancer combined – hours can make the difference between life and death. The quest for early ...

Please provide your email address to receive an email when new articles are posted on . An algorithm using artificial intelligence can foresee severe sepsis and septic shock in hospital patients, ...

WEDNESDAY, April 1, 2026 (HealthDay News) -- International guidelines are presented for the treatment of adults and children with sepsis and septic shock in two special articles from the Surviving ...