Artificial Intelligence Clinical Trial
Official title:
Study on the Method of Difficult Airway Prediction Based on Artificial Intelligence
Difficult airway is a major reason of anesthesia related injuries with latent life threatening complications. Foresee difficult airway in the preoperative period is vital for the patient's safety. The aim of this study is to develop a computer algorithm that can detect whether the patient is a difficult airway based on photographs form six aspects. This method will be decreased potential complication related to difficult airway and increased patient safety.
Introduction:
The primary purpose of the study is to develop a computer algorithm that can detect whether
the patient is a difficult airway based on photographs from six different aspects.
Methods:
This study is divided into two parts. In the first part, we collected the patients' airway
assessment score who underwent general anesthesia with endotracheal intubation assessed by
an experienced attending anesthesiologists before and after intubation. Evaluation of airway
score after tracheal intubation as the gold standard for airway assessment. Digital
photographs of the face of each patient in frontal neutral view and in profile neutrals were
obtained. Details of the photographs, each corresponding to a facial motion: (1) Frontal,
neutral. (2) Frontal, mouth open. (3)Frontal, extreme mouth open and tongue out. (4)Frontal,
extreme upper lip bite (5)Profile, neutral. (6) Profile, neutral, maximum head back. The
patient's photographs and the airway evaluation score after intubation were input to the
computer to train the computer. In the second part, the trained computer was used to
evaluate the airway score of the new patient compared with that of the patient after
intubation, and calculated the sensitivity.
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