HIGHLIGHTS
- who: Olga Krasnova from the (UNIVERSITY) have published the paper: Artificial intelligence and the aging mind, in the Journal: (JOURNAL)
- how: The authors developed convolutional neural_networkbased brain age prediction models using a large collection (2349 unique individuals with 4127 scans) of brain magnetic_resonance imaging (MRI structural image) and brain fluorodeoxyglucose positron-emission tomography (FDG-PET metabolic image) in people aged from 26 to 98 years old . The brain age gap may also be useful as a prognostic biomarker as the results showed that individuals with higher brain age gaps at baseline were more likely to . . .
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