Development and Evaluation of a Deep Learning Based Video Laryngoscope Support AI System

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-jRCT1012250050

Enrollment

100

Registered

2025-12-05

Start date

2025-12-05

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

none none

Interventions

None listed

Eligibility

Inclusion criteria

Inclusion criteria: Video laryngoscope recordings from cases in which a video laryngoscope (AceScope) was used under general anesthesia and the procedure was recorded and stored. Images with sufficient clarity to allow annotation.

Exclusion criteria

Exclusion criteria: Images in which the target structures are not clearly visualized Images with extremely poor quality that makes analysis difficult Images containing personally identifiable information

Design outcomes

Primary

Measure	Time frame
Accuracy of the glottis detection model	—

Secondary

Measure	Time frame
Success rate of displaying guidance for laryngoscope manipulation	—

Contacts

Public ContactTomoki Hirahata

Department of Anesthesiology, Sapporo Medical University School of Medicine

tomoki.hirahata@gmail.com+81-11-611-2111

Outcome results