BACKGROUND AND PURPOSE:
Delayed neurologic sequelae are among the most serious complications of carbon monoxide poisoning. However, no reliable tools are available for evaluating their potential risk. We aimed to assess whether machine learning models using imaging features that were automatically extracted from brain MRI can predict the potential delayed neurologic sequelae risk in patients with acute carbon monoxide poisoning.
MATERIALS AND METHODS:
This single-center, retrospective, observat…