Artificial INtelligence eNabled 3D Facial Scanner for Airway Assessment (AINFAS)
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- Accuracy of AINFAS in Predicting Difficult Airways
研究概览
简要总结
We're developing a new AI, which uses advanced computer technology to help doctors identify patients who might have a difficult airway before surgery or emergency procedures. Sometimes, when a person needs help breathing, doctors have to insert a tube into their airway. This can be challenging for some people due to the shape of their mouth, throat, or neck. We hope that AI will look at a patient's facial features to predict if there might be any difficulties.
详细描述
AINFAS (Artificial Intelligence-enabled system for airway assessment) is an innovative AI system we're developing to revolutionize airway management in healthcare. This advanced artificial intelligence is designed to analyze patient characteristics and predict potential difficulties in airway management before any medical procedure that might require breathing assistance. Using sophisticated machine learning algorithms, AINFAS processes data such as facial structure and neck anatomy to assess the likelihood of a difficult airway. This non-invasive, rapid assessment tool has potential applications across various healthcare settings, including pre-operative assessments, emergency departments, intensive care units, and even pre-hospital care. By providing early identification of potential airway challenges, AINFAS aims to enhance patient safety, improve resource allocation, and provide a standardized, objective method of airway assessment. Currently in development and testing, this AI system represents a significant step forward in using technology to enhance clinical decision-making and patient safety in critical aspects of medical care.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 21 Years 至 100 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Undergoing surgery under general anaesthesia requiring endotracheal intubation or supraglottic airway
- •21-100 years old
排除标准
- •Age less than 21 years
- •Patients with prior surgery with altered facial appearance
- •Patients with tracheostomy
- •Patients with any oropharyngeal pathology
- •Patients with nasopharyngeal carcinoma post radiotherapy or chemotherapy
- •Pregnant females
- •Patients whose physicians did not use a laryngoscope or supraglottic airway
研究组 & 干预措施
General anaesthesia surgery
干预措施: AI-Assisted Preoperative Airway Risk Assessment (Other)
结局指标
主要结局
Accuracy of AINFAS in Predicting Difficult Airways
时间窗: Assessment will occur from the time of preoperative AI analysis through to the completion of the intubation procedure, typically within 48 hours.
To identify and characterize the key predictive parameters that contribute to the AI system's overall ability to detect difficult airways.
次要结局
- Identification of Novel Predictors of Difficult Airways(Data analysis will be conducted after completion of all participant procedures, typically within 2 years of the last participant's assessment.)