AI can help detect antibiotic-resistant bacteria

Researchers at the University of Zurich (UZH) have successfully harnessed artificial intelligence to identify antibiotic-resistant microbes, marking a significant advancement in medical diagnostics.

Utilizing OpenAI's GPT-4 model, the team interpreted laboratory test results to develop a system that accurately identifies resistance to critical antibiotics, Caliber.Az reports via foreign media.

The AI system was tested on hundreds of bacterial samples and demonstrated promising results, although it fell short of the accuracy achieved by human experts. Nevertheless, the researchers believe that AI could play a crucial role in standardizing and accelerating the diagnostic process.

"Our research is the first step towards using AI in routine diagnostics so that doctors can identify resistant bacteria more quickly," said Adrian Egli, the study leader at the Institute of Medical Microbiology, in a press release.

The study underscores the potential of AI in the healthcare sector, aiming to minimize the variability and subjectivity often associated with manual evaluations, ultimately leading to improved patient outcomes.

By Vafa Guliyeva