Aaron Boussina

Jun 11, 2024 | nature.com | Aaron Boussina |Supreeth P. Shashikumar |Robert Owens |Christopher A. Longhurst |Shamim Nemati

Correction to: npj Digital Medicine https://doi.org/10.1038/s41746-023-00986-6, published online 23 January 2024Table 3 and the citation in the text were missing in this article. The original article has been corrected.

Jan 22, 2024 | nature.com | Aaron Boussina |Supreeth P. Shashikumar |Robert Owens |Christopher A. Longhurst |Shamim Nemati

AbstractSepsis remains a major cause of mortality and morbidity worldwide. Algorithms that assist with the early recognition of sepsis may improve outcomes, but relatively few studies have examined their impact on real-world patient outcomes. Our objective was to assess the impact of a deep-learning model (COMPOSER) for the early prediction of sepsis on patient outcomes.