Tag Archive for: #sepsis

Real-time early warning system for sepsis

07/21/22 NATURE MEDICINE – A real-time early warning system for sepsis detection shows promising adoption by healthcare providers and important improvements in patient outcomes.detection shows promising adoption by healthcare providers and important improvements in patient outcomes.

Sepsis is a notoriously difficult condition to manage, mainly because of challenges with its early detection, and it continues to have a high mortality rate; a recent meta-analysis reported a pooled 30-day rate of 24%. Sepsis can develop outside or inside the hospital, on general care units or in the ICU — in one study, 41% of cases occurred outside the ICU, where patients are less closely monitored.

LINKS

Read the NATURE MEDICINE editorial

Learn more about Bayesian’s peer-reviewed research on sepsis here

AI Offers Hope in Reducing Sepsis Deaths

07/21/22 Politico – Artificial Intelligence Offers Hope in Reducing Sepsis Deaths

Interesting article from Politico about Bayesian Health AI technology’s ability to detect sepsis earlier. “There are very few studies that have looked at actual outcomes post deployment of a model like this,” said Steven Lin, executive medical director of Stanford’s Healthcare AI Applied Research team. “They looked at adoption and what actually made it work — not just that it did work, but how did it work.”

LINKS

Read the Politico article

Learn more about Bayesian’s peer-reviewed research on sepsis here

Bayesian Health and Johns Hopkins University Announce Ground-Breaking Results

07/22/22 AI Thority – Bayesian Health and Johns Hopkins University Announce Ground-Breaking Results With a Clinically Deployed Artificial Intelligence Platform

New health AI system from Bayesian detects sepsis earlier.  Where Early AI Deployments Have Failed to Produce Real-World Results, Bayesian Demonstrates Reduced Mortality, Long-Term Efficacy, High Adoption and Fewer False Alerts in a Trio of Prospective, Peer-Reviewed Studies

LINKS

Read the AI Thority article

Learn more about Bayesian’s peer-reviewed research on sepsis here

Suchi Saria Named Finalist for AIMed AI Champion Award

05/26/22 Suchi Saria Named Finalist for AIMed AI Champion Award

SAN FRANCISCO, CA— AIMed have announced the finalists for this year’s AI Champions Awards, which will take place on Wednesday May 25 as part of the live AIMed Global Summit in San Francisco, CA.

“This is all about recognizing some of the great people and organizations that are helping to drive the agenda for artificial intelligence in healthcare”, said AIMed founder Anthony Chang. “Our finalists have worked tirelessly to deliver some incredible outcomes, and they are fully deserving of the accolades. We look forward to meeting them all in person in California in May.”

AI Champion Non-clinician 2022

  • Cansu Canca, Director, AI Ethics Lab
  • Fei-Fei Li, Sequoia Capital Professor of Computer Science, Stanford University
  • Alfonso Limon, Chief Liaison of Research and Development, Oneirix
  • Suchi Saria, Director, Research and Technical Strategy, Malone Center for Engineering in Healthcare, Johns Hopkins
  • May Wang, Director of Biomedical Big Data Initiative, Georgia Tech

LINKS

Read the Press Release

Read more about Bayesian Health’s approach to Adaptive AI

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