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A clinical research of artificial-intelligence-aided diagnosis for hookworms in small intestine by capsule endoscope images

A clinical research of artificial-intelligence-aided diagnosis for hookworms in small intestine by capsule endoscope images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000034546
Enrollment
Unknown
Registered
2020-07-09
Start date
2020-09-15
Completion date
Unknown
Last updated
2020-07-13

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

Conditions

hookworms disease

Interventions

Gold Standard:Diagnose by endoscopist
Index test:Computer-aided&#32
System

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Including patients: during the examination of capsule endoscope, the intestinal images of hookworms were confirmed by the doctor, or no hookworms images confirmed by the doctor.

Exclusion criteria

Exclusion criteria: Excluding patients: during the examination, the capsule endoscope did not enter the small intestine.

Design outcomes

Primary

MeasureTime frame
Time for computer-aided diagnose;Sensitivity;Specificity;Diagnostic Accuracy;Positive/Negative likelihood ratio;—

Secondary

MeasureTime frame
Posttest probability;—

Countries

China

Contacts

Public ContactGan Tao

West China Hospital, Sichuan University

gantao-1@163.com+86 18980601222

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 14, 2026