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Podcast: UF Using AI to Revolutionize the Evaluation of Common Brain Tumors

Illustration of brain waves

Researchers in the University of Florida College of Medicine are using artificial intelligence to analyze the chemical characteristics of Meningioma brain tumors to improve diagnosis and treatment.

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Podcast transcript

Welcome to the University of Florida’s AI Minute, brought to you by the AI Squared Center.

In a groundbreaking study, researchers at UF Health have harnessed artificial intelligence to revolutionize the evaluation of a common type of brain tumor: meningiomas.

Researchers led by Dr. Jesse Kresac in the UF College of Medicine used machine learning, a form of AI, to analyze the chemical characteristics of these tumors to identify crucial features in classifying tumor grades.

Meningioma tumors come in different grades, requiring distinct types of treatment, from surgery to monitoring to radiation. While human evaluation takes about 10 minutes to assess 20 biological markers, AI can evaluate 17,000 markers in less than a second, improving the diagnosis of benign and malignant brain tumors.

With an accuracy of 87% in classifying tumors, this AI-driven approach is a major breakthrough in providing the most effective treatment for patients with tumors.

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For the media

Media contact

Peyton Wesner
Communications Manager for UF Health External Communications (352) 273-9620