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A prospective, multicenter research of deep learning artificial intelligence technology to assist gastroscopy in screening early gastric cancer

Application research of deep learning artificial intelligence technology to assist gastroscopy in screening early gastric cancer

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000029001
Enrollment
Unknown
Registered
2020-01-11
Start date
2020-01-13
Completion date
Unknown
Last updated
2020-01-13

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

Conditions

digestive tract diseases

Interventions

1:AI-assisted gastroscopy
2:normal gastroscopy

Sponsors

Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients aged >18 years; 2. Patients undergo voluntary gastroscopy; 3. After reading the instructions for the subject, the patient and / or family members agree to join the clinical trial and sign an informed consent.

Exclusion criteria

Exclusion criteria: 1. After the upper gastrointestinal tract surgery or a large lesion in the stomach, a large amount of food retention, and other structural changes or inability to distinguish the structure of the stomach; 2. Endoscopic tube placement, hemostasis and other reasons have not fully observed the gastric structure; 3. The AI cannot recognize the image due to other non-technical reasons; 4. Serious heart, lung, kidney, and brain diseases; 5. Other researchers consider it inappropriate to continue clinical trials; 6. Patients and / or family members do not agree to join the clinical trial.

Design outcomes

Primary

MeasureTime frame
Early cancer detection rate;

Secondary

MeasureTime frame
operation time;AI score;the percent of patients being overlooked at each site;the Number of Blind Spots;

Countries

China

Contacts

Public ContactWang Shi

Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital

wangshi@zjcc.org.cn+86 13588403693

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 20, 2026