News-Medical.Net October 17, 2024
Researchers at the University of Zurich (UZH) have used artificial intelligence (AI) to help identify antibiotic-resistant bacteria. The team led by Adrian Egli, UZH professor at the Institute of Medical Microbiology, is the first to investigate how GPT-4, a powerful AI model developed by OpenAI, can be used to analyze antibiotic resistance.
The researchers used AI to interpret a common laboratory test known as the Kirby-Bauer disk diffusion test, which helps doctors to determine which antibiotics can or can’t fight a particular bacterial infection. Based on GPT-4, the scientists created the “EUCAST-GPT-expert”, which follows strict EUCAST (European Committee on Antimicrobial Susceptibility Testing) guidelines for interpreting antimicrobial resistance mechanisms. By incorporating the latest data and expert rules, the system was tested...