We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




AI Diagnostic Tool Guides Rapid Diagnosis and Prediction of Sepsis

By HospiMedica International staff writers
Posted on 05 Apr 2024
Print article
Image: The Sepsis ImmunoScore is the first-ever AI sepsis diagnostic granted marketing authorization by the FDA (Photo courtesy of Prenosis)
Image: The Sepsis ImmunoScore is the first-ever AI sepsis diagnostic granted marketing authorization by the FDA (Photo courtesy of Prenosis)

Sepsis, a condition marked by an excessive immune response to infection, presents a formidable diagnostic challenge, with significant implications for global health and healthcare budgets. Annually, sepsis is responsible for more fatalities than the combined total of all cancer types and huge expenses for healthcare systems. Sepsis survivors often endure severe, lasting impacts on their lives even after discharge. Now, a revolutionary artificial intelligence (AI) diagnostic and predictive tool for early sepsis detection has significant potential to save lives and reduce hospital length of stay.

The Sepsis ImmunoScore from Prenosis (Chicago, IL, USA) is an AI software as a medical device (AI SaMD) for guiding the rapid diagnosis and prediction of sepsis. It assesses the risk of sepsis onset or progression within 24 hours following a patient's evaluation in emergency or hospital settings. By analyzing a comprehensive array of 22 biomarkers and clinical data points, the Sepsis ImmunoScore evaluates the patient's overall biological state, providing a risk score and categorizing patients into four distinct risk levels. These classifications are indicative of potential clinical outcomes, such as hospital stay duration, mortality risk, and the necessity for escalated care measures like ICU admission, mechanical ventilation, or vasopressor administration within the next 24 hours.

By integrating seamlessly into hospital electronic health records (EHRs), Sepsis ImmunoScore’s software becomes easily accessible to clinicians. It features a user-friendly interface that details the contribution of each parameter to the overall sepsis risk assessment, fostering a transparent relationship between clinicians and the AI tool. This transparency is crucial for encouraging rapid and informed clinical decisions, thereby enhancing patient care quality and hospital efficiency. The Sepsis ImmunoScore was built using the Immunix precision medicine platform from Prenosis which is designed to advance personalized medicine in acute care settings. The U.S. Food and Drug Administration (FDA) has granted marketing authorization for the Sepsis ImmunoScore using the De Novo pathway, making it the first-ever AI sepsis diagnostic to be granted marketing authorization by the FDA.

"FDA authorization of a sepsis diagnostic tool with significant predictive power is a landmark event for people that could ever be at risk of sepsis at some point in their lives," said Bobby Reddy, Jr, Ph.D., Prenosis Co-Founder and CEO. "Until now, there was no other FDA authorized AI diagnostic for sepsis, which is why the Sepsis ImmunoScore had to be granted marketing authorization through the De Novo pathway. FDA authorization offers yet another important piece of evidence of the potential of the Sepsis ImmunoScore to improve care."

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
Cannulating Sphincterotome
TRUEtome
New
Phototherapy Eye Protector
EyeMax2

Print article

Channels

Surgical Techniques

view channel
Image: Synthetic images generated by each diffusion model contrasted with the corresponding real textural images of four types of polyps (Photo courtesy of UT at Austin)

AI-Assisted Imaging to Assist Endoscopists in Colonoscopy Procedures

Colorectal cancer is a major health concern in the United States, with the likelihood of developing the disease being 1 in 25 for women and 1 in 23 for men. Polyps, which are precursors to cancer, can... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.