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Modeling difficult airways for facial recognition

Build machine learning models using facial data to identify difficult airways, a real-world study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100042332
Enrollment
Unknown
Registered
2021-01-19
Start date
2021-03-01
Completion date
Unknown
Last updated
2021-04-19

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

Conditions

Diffcult Airway

Interventions

Gold Standard:Clinical outcome
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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.

Design outcomes

Primary

MeasureTime frame
facial recognition;SEN, SPE, ACC, AUC of ROC;—

Countries

China

Contacts

Public ContactLu Zhijun

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

lusamacn@126.com+86 13701673072

Outcome results

None listed

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