AI Explores Chiari Type-1 Subtypes

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congenital brain malformation

ScienceDaily

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New subtypes of common brain disorder

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Researchers have used AI tools to describe three sub-types of Chiari type-1 malformation, which will help guide clinicians to make the most effective treatment decisions for their patients.

The subtypes could then serve as indicators to guide physicians seeking the best treatment options for patients.

There are hundreds of variables for each patient -- ranging from clinical data and brain imaging to health insurance status.

Ziqi Xu is already working to further refine and develop this model.

Xu believes the collaboration between clinicians and computer scientists in this study has the potential to be transformative across the field of medicine.

"We are in a golden age," Xu said. "With the growing power of computational tools and the vast data in electronic health records, AI can serve as a catalyst for generating novel insights for clinicians".

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