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Using Artificial Intelligence to Predict Difficult Breathing Tube Placement in Adults Undergoing Surgery Using Pre-Surgery Airway Assessment

Prediction of Difficult Endotracheal Intubation Using Artificial intelligence with Pre-Anaesthetic Airway Assessment Parameters: A Prospective Observational Study - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/06/113116
Enrollment
150
Registered
2026-06-29
Start date
Unknown
Completion date
Unknown
Last updated
2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: J00-J99- Diseases of the respiratory system

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil

Sponsors

Aarupadai Veedu Medical College and Hospital
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: ASA Physical Status I or II Patients undergoing elective surgery under general anaesthesia requiring endotracheal intubation

Exclusion criteria

Exclusion criteria: Patient Refusal Pregnant or breastfeeding women Patients with maxillofacial deformities Patients with trismus restricted mouth opening

Design outcomes

Primary

MeasureTime frame
Accuracy of the AI based prediction model for difficult endotracheal intubation assessed by comparison with observed Cormack Lehane grade during laryngoscopyTimepoint: at the time of direct laryngoscopy during induction of general anaesthesia

Secondary

MeasureTime frame
Sensitivity specificity PPV & NPV of the AI model Time taken for intubation Number of intubation attempts Failure of intubation Correlation of airway assessment parameters Mallampati grade thyromental distance neck circumference etc with difficult intubationTimepoint: single time point intraoperatively at laryngoscopy

Countries

India

Contacts

Public ContactDr Pradeesh Johny

Aarupadai Veedu Medical College and Hospital

ezhilrajan96@gmail.com9843030074

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Aug 10, 2026