Supreeth Shashikumar

How can ML help hospitals detect sepsis? Using a model built by @UCSDHealth research scientist @spshash, clinicians have an early warning of patients predicted to develop sepsis in the next four hours. Learn how #AmazonResearchAwards helped scale the life-changing service.

For a patient with sepsis, the speed of diagnosis is a matter of life or death. @WardiGabriel, MD, emergency medicine physician, helped create an #AI system to spot people at high risk of #sepsis at #UCSDHealth. #HealthCare kpbs.org/news/science-t…

Can a novel #DeepLearning algorithm to predict #sepsis in the emergency department improve care? Researchers from @UCSDHealth show proper implementation of the model can save lives of sepsis patients and improve quality metrics. nature.com/articles/s4174…

1/3 Healcisio's AI Reduces Sepsis Mortality By Nearly 20%: NIH Funded Healcisio Collaboration Advances the Development o... prn.to/3HtVMMb #AI #Sepsis #MedTwitter

Can a novel #DeepLearning algorithm to predict #sepsis in the emergency department improve care? Researchers from @UCSDHealth show proper implementation of the model can save lives of sepsis patients and improve quality metrics. nature.com/articles/s4174…

Voice-Enabled Response Analysis Agent (VERAA): Leveraging Large Language Models to Map Voice Responses in SDoH Survey medrxiv.org/cgi/content/sh… #medRxiv

Thanks to @beckersHR for highlighting our efforts in using #AI for early #sepsis prediction @UCSDHealth! A true team effort with @CALonghurst @ShamimNemati @ABoussina @AtulMalhotra13 to get this going! @ucsdpccsm @SepsisAlliance beckershospitalreview.com/innovation/how…