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[Constructing a cataplexy face prediction model for narcolepsy type 1 based on ResNet-18]
1Department of Neurology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China.
Zhonghua Yi Xue Za Zhi
|July 9, 2024
Summary
A deep learning model using ResNet-18 accurately identifies cataplexy facial features in clinical videos. This AI tool shows high sensitivity and specificity for diagnosing cataplexy in narcolepsy type 1 patients.
Area of Science:
- Medical Imaging
- Artificial Intelligence
- Neurology
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