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Artificial intelligence for quality control of imagings in esophageal endoscopy: a single-center, randomized, controlled, blinded, superiority, clinical trial

Artificial intelligence for quality control of imagings in esophageal endoscopy: a single-center, randomized, controlled, blinded, superiority, clinical trial

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2300074677
Enrollment
Unknown
Registered
2023-08-11
Start date
2023-08-14
Completion date
Unknown
Last updated
2023-08-21

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

Conditions

those who undergoing esophageal endoscopy

Interventions

Real-AI:Turn on the "real" AI quality control system when withdrawing the endoscope
False-AI:Turn on the "false" AI quality control system when withdrawing the endoscope

Sponsors

Zhongshan Hospital of Fudan University, Xuhui hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: ? 18~80 years old; ? Suitable for upper gastrointestinal endoscopy; ? Informed consent from the patient and the family; ? No known anatomical abnormalities of the esophagus, including esophageal diverticulum, esophagotracheal fistula, surgical history of esophageal disease, and radiotherapy history of esophageal cancer.

Exclusion criteria

Exclusion criteria: ? Patients undergoing emergency examination (treatment) of upper gastrointestinal tract due to hematemesis and abdominal pain; ?American Society of Anesthesiologists (ASA) rating greater than III; ? Pregnancy and lactation; ? Patients who cannot complete gastroscopy due to esophageal stenosis or obstruction; ? Patients or family members unable to understand the conditions and objectives of the study.

Design outcomes

Primary

MeasureTime frame
Rate of high-quality inspection;

Secondary

MeasureTime frame
Total time of a single esophageal endoscopy ;Number of esophageal lesions detected;

Countries

China

Contacts

Public ContactZhong Yunshi

Zhongshan Hospital of Fudan University, Xuhui hospital

zhong.yunshi@zs-hospital.sh.cn+86 135 6462 3481

Outcome results

None listed

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