A single-center trial for evaluating the diagnostic accuracy of AI in gastroscopy for Helicobacter pylori infection

Research on new technologies for screening and early diagnosis of malignant tumors: Research and development of endoscopic gastric cancer risk stratification and early gastric cancer identification system based on artificial intelligence

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2400091317

Enrollment

Unknown

Registered

2024-10-25

Start date

2024-10-25

Completion date

Unknown

Last updated

2024-10-28

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

Conditions

Helicobacter pylor

Interventions

Gold Standard:gastroscopic pathology

Index test:AI in diagnosing Helicobacter pylori infection status by gastroscopy

Eligibility

Sex/Gender

All

Age

18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1.Over(above) 18 years old;2.Patients with gastroscopy and gastroscopic pathology.

Exclusion criteria

Exclusion criteria: Patients after gastric surgery; data were missing, including missing endoscope pictures and missing gastroscopic pathology results.

Design outcomes

Primary

Measure	Time frame
The AUC of diagnosing Helicobacter pylori infection;	—

Secondary

Measure	Time frame
The accuracy of diagnosing Helicobacter pylori infection;The sensitivity of diagnosing Helicobacter pylori infection;The specificity of diagnosing Helicobacter pylori infection;	—

Countries

China

Contacts

Public ContactLv Bin

First Affiliated Hospital of Zhejiang Chinese Medical University

drlvbin@163.com+86 139 0651 5409

Outcome results

None listed

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