Gastric Neoplasms Neoplasm, Stomach
Conditions
Interventions
Subjects undergoing screening EGD will be randomly assigned to two groups to evaluate the diagnostic performance of "Landmark Photo Checker (LMPC)", an endoscopic AI software function implemented in C
D005773
Artificial Intelligence, Endoscopic AI, Esophagogastroduodenoscopy, Quality Control, Landmark Photo Checker
Sponsors
Sonoda Takayoshi
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Subjects aged 20 years or older. Individuals undergoing upper gastrointestinal endoscopy (EGD) screening at the Cancer Screening Center, Cancer Institute Hospital of JFCR. Subjects who have provided written informed consent voluntarily after receiving a full explanation regarding participation in this study.
Exclusion criteria
Exclusion criteria: Subjects with a history of gastric resection. Individuals with distinct clinical gastrointestinal symptoms. Other individuals judged to be inappropriate for participation in this study by the principal investigator or sub-investigators.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Sensitivity of the endoscopic AI software function, Landmark Photo Checker (LMPC), in automatically judging appropriate imaging for seven anatomical landmarks during esophagogastroduodenoscopy (EGD) | — |
Secondary
| Measure | Time frame |
|---|---|
| pecificity and accuracy of the endoscopic AI software function, Landmark Photo Checker (LMPC), in automatically judging appropriate imaging for seven anatomical landmarks during esophagogastroduodenoscopy (EGD). Cost-effectiveness (5-year average costs and net monetary benefit: NMB) of implementing LMPC in gastric cancer screening using a microsimulation model based on the clinicopathological characteristics of detected and false-negative gastric cancers | — |
Contacts
Public ContactTakayoshi Sonoda
Cancer Institute Hospital of JFCR
Outcome results
None listed