A prospective, multicenter, randomized controlled study evaluating the impact of artificial intelligence-assisted gastroscopy on the detection of upper gastrointestinal cancer

Status

Recruiting

Phases

Early Phase 1

Study type

Interventional

Source

ChiCTR

Registry ID

ChiCTR2100045597

Enrollment

Unknown

Registered

2021-04-19

Start date

2021-05-01

Completion date

Unknown

Last updated

2021-12-06

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

Conditions

digestive tract diseases

Interventions

experimental group:AI-assisted gastroscopy

control group:normal gastroscopy

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients aged > 18 years; 2. Patients undergo voluntary gastroscopy.

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. Other researchers consider it inappropriate to continue clinical trials.

Design outcomes

Primary

Measure	Time frame
Early cancer detection rate;	—

Secondary

Measure	Time frame
operation time;AI score;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 4, 2026