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Modeling difficult airways for facial recognition, a multicenter development and validation study

One-photo detection for difficult airways via deep learning, a multicenter development and validation study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100044449
Enrollment
Unknown
Registered
2021-03-18
Start date
2021-04-01
Completion date
Unknown
Last updated
2021-09-20

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

Conditions

Diffcult Airway

Interventions

Case series:Nil

Sponsors

Rui Jin Hospital, Luwan Branch Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: 1. Sign the dated informed consent form; 2. Commit to abide by the research procedures and cooperate with the implementation of the whole process research; 3. Between 18-99 years old; 4. Surgery that requires general anesthesia for tracheal intubation; 5. Elective surgery.

Exclusion criteria

Exclusion criteria: Pregnant or breastfeeding patient.

Design outcomes

Primary

MeasureTime frame
face image;difficult airway data;—

Secondary

MeasureTime frame
patient demographic information;—

Countries

China

Contacts

Public ContactChen, Weijia

Rui Jin Hospital, Luwan Branch Shanghai Jiao Tong University School of Medicine

starclan@163.com+86 13817550531

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026