Machine learning identification of neuroimaging signatures in young and middle-aged male patients with obstructive sleep

OBJECTIVES: This study aimed to develop and validate an integrated neuroimaging-based model for identifying severe obstructive sleep apnea (OSA) with severe oxygen desaturation (ODI ≥ 30 events/hour) in young and middle-aged male. A key goal was to characterize the neuroimagin...

• Source: Radiology AI literature (PubMed) (AI)
• Type: Research

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