The interest of artificial intelligence in predicting the risk of difficult intubation in children

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

PACTR

Registry ID

PACTR202602639020157

Enrollment

500

Registered

2026-02-16

Start date

2026-02-01

Completion date

Unknown

Last updated

2026-09-14

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

Conditions

Respiratory Paediatrics Anaesthesia

Interventions

easy intubation

Difficult intubation

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: children aged less than 6 years scheduled for surgery under general anesthesia with endotracheal intubation

Exclusion criteria

Exclusion criteria: no exclusion criteria

Design outcomes

Primary

Measure	Time frame
difficult intubation defined by cormack III or IV and failed first attempt of intubation	—

Secondary

Measure	Time frame
establish an android application	—

Countries

Tunisia

Contacts

Public Contactmondher abed

general director of Hedi Chaker University Hospital

mondher.abed@rns.tn0021658423025

Outcome results

None listed

Source: PACTR (via WHO ICTRP) · Data processed: Sep 19, 2026