Class Of '23: UVA Developed AI To Spot Early Sepsis - Credit: University Of Virginia

Class Of ’23: UVA Developed AI To Spot Early Sepsis

The University of Virginia (UVA) is a leader in the development of artificial intelligence (AI). Recently, two undergraduate students from UVA’s Class of 2023 have helped lead the way in creating an AI system that can detect early signs of sepsis. Sepsis is a life-threatening condition caused by an infection and it can be difficult to diagnose quickly.

Sepsis has been identified as one of the leading causes of death worldwide, with more than 1 million people dying each year due to this condition. Early detection and treatment are essential for improving patient outcomes, but current methods often require extensive testing or manual review by medical professionals. This makes diagnosis time consuming and costly.

The new AI system developed at UVA uses machine learning algorithms to analyze data from electronic health records (EHRs). It then identifies patterns associated with sepsis so that doctors can make faster diagnoses and begin treatment sooner. The project was led by Dr. David Cennimo, associate professor at UVA School of Medicine’s Department of Pediatrics, along with two undergraduates: Anand Rajagopalan and Abhinav Kumaraswamy from the Class of 2023 who worked on developing the algorithm for detecting sepsis using EHR data sets collected over several years across multiple hospitals in Virginia.

Rajagopalan said he was inspired to work on this project after seeing how much potential there was for AI technology to improve healthcare delivery systems around the world: “I wanted to use my skillset as a computer scientist to help create something meaningful that could potentially save lives.” He added that working alongside Dr Cennimo gave him invaluable experience in understanding how research works outside academia – which will be useful when he enters his career after graduation next year.

Kumaraswamy echoed these sentiments saying: “It has been great working on such an important project while still being able to learn about different aspects related to healthcare delivery systems.” He also noted how helpful it had been having access to experienced mentors like Dr Cennimo who were willing share their knowledge throughout every step of the process – something he believes will benefit him greatly going forward into his professional career beyond college too.

This innovative AI system developed at UVA shows promise for helping clinicians identify patients suffering from sepsis earlier than ever before – ultimately saving lives through improved diagnosis times and treatments plans tailored specifically towards individual cases rather than relying solely on traditional methods which may not always yield accurate results quickly enough..

|Class Of ’23: UVA Developed AI To Spot Early Sepsis |Healthcare |University Of Virginia

Original source article rewritten by our AI: University Of Virginia




By clicking “Accept”, you agree to the use of cookies on your device in accordance with our Privacy and Cookie policies