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Program development to diagnose jaundice

Program development to diagnose jaundice

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0009915
Enrollment
100
Registered
2024-11-08
Start date
2024-12-01
Completion date
Unknown
Last updated
2024-11-14

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

Conditions

None listed

Interventions

None listed

Sponsors

Soonchunhyang University Medical Center
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: - Patients who visited the hospital for liver disease and underwent blood and urine tests - Patients who agreed to have their sclera photographed

Exclusion criteria

Exclusion criteria: - When the patient does not consent to the study

Design outcomes

Primary

MeasureTime frame
The accuracy of artificial intelligence in predicting jaundice

Secondary

MeasureTime frame
Comparison of accuracy in predicting jaundice based on different types of artificial intelligence

Countries

Korea, Republic of

Contacts

Public ContactJeong-Ju Yoo

Soon Chun Hyang University Hospital Bucheon

puby17@naver.com+82-32-621-5095

Outcome results

None listed

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