Using AI to improve early detection and treatment of sepsis in hospitals

AIVIS: Next Generation Vigilant Information Seeking Artificial Intelligence-based Clinical Decision Support for Sepsis

NIH-funded research Clairyon, INC. · NIH-11060671

This study is working on a smart computer program that helps doctors spot and treat sepsis faster by looking at patient health records, so they can make better decisions and help you or your loved ones get the care you need more quickly.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionClairyon, INC. NIH-funded
Lab location1 site (San Diego, United States)
Project IDNIH-11060671 on NIH RePORTER

What this research studies

This research focuses on developing an advanced artificial intelligence system designed to enhance the early recognition and treatment of sepsis, a life-threatening condition caused by the body's response to infection. By analyzing electronic health record (EHR) data, the AI aims to identify patients at risk of sepsis more accurately and quickly than current methods. The approach involves using machine learning to detect patterns in clinical data and improve decision-making for healthcare providers. The goal is to create a clinically validated tool that can support doctors in making timely and informed decisions regarding sepsis management.

Who could benefit from this research

Good fit: Ideal candidates for this research are hospitalized patients who are at risk of developing sepsis due to infections.

Not a fit: Patients who are not hospitalized or those who do not have infections that could lead to sepsis may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could significantly reduce sepsis-related deaths and improve patient outcomes through faster and more accurate diagnosis and treatment.

How similar studies have performed: Previous research has shown promise in using machine learning for sepsis prediction, but this approach aims to create a novel, clinically validated system.

Where this research is happening

San Diego, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-10 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.