THE ROLE OF ARTIFICIAL INTELLIGENCE TRAINED WITH PRE-MEASURED NUMERICAL DATA IN PREDICTION OF DIFFICULT INTUBATION

"The AI-Based Difficult Airway Prediction Model is an artificial intelligence system designed to predict difficult intubation in patients undergoing general anesthesia. It combines clinical data (age, BMI, Mallampati score, mouth opening, thyromental distance, sternomental distance, neck circumference) and anatomical image data. Machine learning (Random Forests, SVM, Gradient Boosting) and deep learning (ANN, CNN) algorithms are used to classify airway difficulty. The model's predictions are compared with clinical assessments by anesthesiologists using Cormack-Lehane grading. The goal is to improve prediction accuracy, enhance airway management, and support clinical decision-making."