U.S., May 22 -- ClinicalTrials.gov registry received information related to the study (NCT06982144) titled 'AI-based Prediction Model of Difficult Tracheal Intubation Using Medical Image Parameters' on May 13.
Brief Summary: Difficult airway is a life-threatening event during anesthesia. Prediction model is helpful to detect high-risk patients and decrease the risk of un-anticipated difficult airway. Present models are usually based on Mallampati grade and the width of mouth open. However, the prediction accuracy is only about 0.7-0.8 in different populations. Present study is designed to investigate if AI-based prediction model using medical imaging parameters (such as CT and MRI) can increase the accuracy of prediction model.
Study Star...