AIMC Topic: Carbon Monoxide Poisoning

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Predicting delayed neurological sequelae in patients with carbon monoxide poisoning using machine learning models.

Clinical toxicology (Philadelphia, Pa.) Jan 14, 2025
INTRODUCTION: Delayed neurological sequelae is a common complication following carbon monoxide poisoning, which significantly affects the quality of life of patients with the condition. We aimed to develop a machine learning-based prediction model to...
Humans Machine Learning Retrospective Studies Female Aged Adult Male Middle Aged Emergency Service, Hospital Nervous System Diseases Carbon Monoxide Poisoning
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Heart-Brain 346-7 Score: the development and validation of a simple mortality prediction score for carbon monoxide poisoning utilizing deep learning.

Clinical toxicology (Philadelphia, Pa.) Jul 7, 2023
INTRODUCTION: Acute mortality from carbon monoxide poisoning is 1-3%. The long-term mortality risk of survivors of carbon monoxide poisoning is doubled compared to age-matched controls. Cardiac involvement also increases mortality risk. We built a cl...
Humans Brain Retrospective Studies Adult Deep Learning ROC Curve Carbon Monoxide Carbon Monoxide Poisoning
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Machine Learning-Based Prediction of Delayed Neurologic Sequelae in Carbon Monoxide Poisoning Using Automatically Extracted MR Imaging Features.

AJNR. American journal of neuroradiology Dec 4, 2025
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 model...
Humans Machine Learning Retrospective Studies Female Aged Adult Sensitivity and Specificity Male Middle Aged Magnetic Resonance Imaging Nervous System Diseases Carbon Monoxide Poisoning
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