FindTrial
Sign In

Grading the ease of intubation using AI

Evaluating the efficiency of artificial intelligence in accurately classifying mallampatti score - Nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/02/103468
Enrollment
800
Registered
2026-02-09
Start date
Unknown
Completion date
Unknown
Last updated
2026-03-02

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

Conditions

None listed

Interventions

Intervention1: Nil: Nil

Sponsors

Lillia Joe
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Anyone above 18yrs to 85yrs willing to participate

Exclusion criteria

Exclusion criteria: Below 18 yrs

Design outcomes

Primary

MeasureTime frame
To compare the performance of the AI model against expert anaesthesiologist in assessing mallampati scoreTimepoint: 52 weeks—

Secondary

MeasureTime frame
To develop an AI based model that can accurately classify mallampatti scores from images of the patients oral cavityTimepoint: 52 weeks—

Countries

India

Contacts

Public ContactDr Zubair umer Mohamed

Amrita institute of medical sciences

drjerrypaul@gmail.com9048699161

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Mar 14, 2026