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10/12/22 Undark - A New, Transparent AI Tool May Help Detect Blood Poisoning The most impressive aspect of TREWS, according to Zachary Lipton, an assistant professor of machine learning and operations research at Carnegie Mellon University, was not the model’s novelty, but the effort it must...

09/26/22 AMA - What it takes for doctors to trust AI-triggered sepsis alerts Increasing adoption in sepsis AI with Bayesian. “This is a breakthrough in many ways," said study co-author Albert W. Wu, MD, director of the Center for Health Services and Outcomes Research at Johns...

09/08/22 Signify Research - Early Warning for Sepsis from Bayesian Health – Advances of AI in Clinical Care Continue Rigorous evaluation of AI reducing sepsis mortality. Bayesian Health’s solution has demonstrated the positive outcomes that AI-based applications can have on detecting sepsis and reducing risk of...

08/01/22 Scientific American - Algorithm That Detects Sepsis Cut Deaths by Nearly 20 Percent Detecting sepsis earlier with Bayesian's health AI. "I think that this model for machine learning may prove as vital to sepsis care as the EKG [electrocardiogram] machine has proved in diagnosing a heart...

07/26/22 - ZME Science - This AI saved hundreds of lives from sepsis in just five hospitals. Across the US, thousands more could be spared Lowering sepsis risk using Bayesian's adaptive AI. Thanks to this system, the patients were 20% less likely to die of sepsis,...

07/25/22 HealthTech World - Groundbreaking results reveal AI can reduce sepsis deaths Peer reviewed research shows drop in sepsis death. Unlike traditional AI that follows a “one-size-fits-all” approach to patients and hospitals, Bayesian’s adaptive approach to AI takes into consideration the diversity of the patient population.   LINKS Read...

07/25/22 Politico: Digital Future Daily - Applied AI Feature: Decreasing sepsis risk using Bayesian's machine learning solution Crucially, Bayesian Health’s AI is good not just at spotting sepsis cases, but also at avoiding false positives. That means that doctors ended up responding to nearly 90 percent...

07/25/22 Inside Precision Medicine - AI-Driven Clinical Sepsis Screening Approach Demonstrated to Save Lives Reducing sepsis mortality using Bayesian's machine learning system. An adaptive artificial intelligence (AI) technology called the Targeted Real-time Early Warning System (TREWS) developed by Bayesian Health has shown its ability in a...

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...

07/22/22 Modern Healthcare - AI can reduce sepsis-related deaths, study shows Bayesian helps hospitals reduce sepsis mortality. Using artificial intelligence and a machine learning system, providers were able to diagnose and treat cases of sepsis earlier than with traditional methods, decreasing sepsis patient mortality by nearly...

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,...

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...

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. NEW YORK, JULY 21, 2022— Bayesian Health, the leading artificial intelligence (AI)-based Intelligent Care Augmentation platform developer, today...

“People have this misconception that if they just include race as a variable or don't include race as variable, it's enough to deem a model to be fair or unfair,” said Bayesian Health CEO Suchi Saria.   Read the article here...

As a user exploring deployment of healthcare AI, a key challenge has been the lack of a comprehensive assessment for measuring bias within your solution. Further complicating matters; most scientific papers focus on one or two aspects of bias while meta-reviews or industry tool-kits simply...

Race can sound like straightforward information to collect from patients—but changes to how race has been categorized over time, how consistently demographic information is asked of patients and how patients think about race make it a data point worth taking with a grain of salt...

LifeBridge Health Selects Bayesian Health’s Research-Backed AI Platform to Help Diagnose and Treat Pressure Injury, Sepsis, and Patient Deterioration NEW YORK, OCTOBER 20, 2021—Bayesian Health today announced that LifeBridge Health will be deploying its AI-based clinical decision support platform to help diagnose and treat pressure injury,...

The development of predictive AI tools in healthcare shows tremendous promise in accelerating more accurate diagnoses and improving the safety and quality of healthcare. However, what’s been lacking is a standard way to evaluate whether or not an AI tool will do what it says it...

Clinical AI can reduce harm, improve patient outcomes and deliver financial benefits by augmenting physician and nurse decision-making at the bedside, making care more proactive. But, knowing where to begin can be tricky. In what clinical areas should your health system consider applying AI? With...

Building and deploying AI predictive tools in healthcare isn’t easy. The data are messy and challenging from the start, and building models that can integrate, adapt, and analyze this type of data requires a deep understanding of the latest AI/ML strategies and an ability to...

Healthcare providers around the country are struggling due to a severe shortage of workers. The massive healthcare demand caused by the pandemic has inflicted burnout and stress to healthcare workers in all sectors, driving most to their wits’ end. According to the Bureau of Labor...

Though predictive tools are widely used in the healthcare setting, there are no official rubrics or guidelines for evaluation or requirements for consistent regulatory oversight. But, what can often happen during deployment is something called “dataset shift.” Dataset shift occurs when a tool “underperforms because...

Bayesian Health's platform drove faster treatment for sepsis, with high provider adoption. A large, five site study analyzing use and practice impact over two years for Bayesian Health’s sepsis module showed high sensitivity (80%+) with high precision (1 in 3 alerts were provider confirmed). Sepsis...

Today, Bayesian Health exited stealth mode, bringing to market its research-backed AI platform that helps health systems deliver safer and higher quality care. But we’ve been at it for much longer—we’ve been heads down, working as a company for more than three years.  Why did we...

Several years ago, I lost my nephew to sepsis -- he was only 26 years old when this happened. It was devastating for my family. Sepsis is a life-threatening syndrome that is preventable only when it's recognized early and treated in a timely way. Unfortunately,...

As health systems look to adopt new technology platforms that engage frontline caregivers to improve patient outcomes, understanding how a platform interacts with users and sustains engagement is critical to understanding if the technology will be successful. Even the very best solutions won’t have any...

When building healthcare AI / predictive tools in the real world, certain issues should be considered and accounted for, such as understanding how the tool generalizes from one site to another, how it stands up to changes in physician practice patterns, and how sensitive it...

Dr. Suchi Saria shares her journey bringing machine learning to the bedside, overcoming barriers, and creating practical applications that impact real patients.   Watch the TedMed talk here.    ...

Dr. Suchi Saria discusses the development and outcomes of her early sepsis warning system, TREWS, and a call to action for industry experts and policymakers in this TEDx talk.   Watch the TedTalk here.    ...

Forbes named Dr. Suchi Saria one of 20+ brilliant women achieving incredible impact in artificial intelligence in 2017, based on her work collecting data from sensor platforms and electronic medical records to improve healthcare delivery.   Read the full profile here.    ...

WebMD features Dr. Suchi Saria in a discussion on how artificial intelligence works, the benefits of using AI in healthcare, and the role it will play (and won’t play) in the future of healthcare delivery.   See the full video here.    ...

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