Benefits
- Benefit
-
Found adenomas in 52.3% of patients against 36.1% with standard colonoscopy
Awaiting review
- Outcome identifiers
-
Unresolved
Not reviewedUnresolved
- Category
-
Improved Task Accuracy
Awaiting review
- Status
-
Reported benefit
Awaiting review
- Beneficiary groups
-
People. Organizations.
Awaiting review
- Beneficiaries
-
Unresolved
Not reviewedUnresolved
- Reach
-
Unresolved
Not reviewedUnresolved
- Distribution and access
-
Unresolved
Not reviewedUnresolved
- Duration
-
Unresolved
Not reviewedUnresolved
- Expected?
-
Yes
Awaiting review
- Costs and harms
-
Unresolved
Not reviewedUnresolved
AI system
- System
-
ENAD-DET-01 (ENdoscopy as AI-powered Device)
Awaiting review
- Model
-
This is an explicit unresolved assignment: the sources on record do not settle this question.
Not reviewedUnresolved
- Release
-
Unresolved
Not reviewedUnresolved
- Provider
-
Unresolved
Not reviewedUnresolved
- Role
-
Unresolved
Not reviewedUnresolved
- Configuration
-
Unresolved
Not reviewedUnresolved
- Inputs and outputs
-
Unresolved
Not reviewedUnresolved
- Autonomy
-
Unresolved
Not reviewedUnresolved
- Workflow
-
The system marked suspected polyps on the live endoscopy monitor. Endoscopists at two tertiary hospitals used it in screening, surveillance and diagnostic colonoscopy. The control group's adenoma detection rate was 36.1%.
Awaiting review
- Human oversight
-
Unresolved
Not reviewedUnresolved
- Relation to AI
-
Patients were randomly assigned to colonoscopy with or without the system, so the difference in detection is attributable to the system.
Awaiting review
- AI contribution
-
Patients were randomly assigned to colonoscopy with or without the system, so the difference in detection is attributable to the system.
Awaiting review
Measurement
- Studies
-
Randomized. [1]
Fully reviewedDetails: supporting details for Studies
Review date: 29 October 2026.
Sources: [1]
- Study design
-
Randomized. [1]
Fully reviewedDetails: supporting details for Study design
Review date: 29 October 2026.
Sources: [1]
- Measurement
-
Histologically confirmed adenomas per patient. [1]
Fully reviewedDetails: supporting details for Measurement
Review date: 29 October 2026.
Sources: [1]
- Setting and sample
-
998 patients at two tertiary hospitals in Seoul, May 2023 to April 2025. [1]
Fully reviewedDetails: supporting details for Setting and sample
Review date: 29 October 2026.
Sources: [1]
- Measures
-
Adenoma detection rate. [1]
Fully reviewedDetails: supporting details for Measures
Review date: 29 October 2026.
Sources: [1]
- Comparison
-
Conventional colonoscopy. [1]
Fully reviewedDetails: supporting details for Comparison
Review date: 29 October 2026.
Sources: [1]
- Results
-
52.3% vs 36.1%; polyp detection 72.2% vs 54.5%. [1]
Fully reviewedDetails: supporting details for Results
Review date: 29 October 2026.
Sources: [1]
- Additional value from AI
-
16.2 percentage points in adenoma detection. [1]
Fully reviewedDetails: supporting details for Additional value from AI
Review date: 29 October 2026.
Sources: [1]
- Limitations
-
Two hospitals; no gain for sessile serrated lesions or cancers. [1]
Fully reviewedDetails: supporting details for Limitations
Review date: 29 October 2026.
Sources: [1]
Money
- Kind of value
-
The kind of monetary value is unclear.
Not reviewedUnresolved
- Amount
-
The monetary value is not established.
Not reviewedUnresolved
- Currency and prices
-
The currency and price basis are unclear.
Not reviewedUnresolved
- Period and unit
-
The period and unit of the monetary estimate are unclear.
Not reviewedUnresolved
- Realization
-
Whether the monetary value was realized is unclear.
Not reviewedUnresolved
- Recipients and payers
-
The recipients and payers are unclear.
Not reviewedUnresolved
- Gross or net
-
Whether the monetary figure includes costs is unclear.
Not reviewedUnresolved
- Included costs
-
The costs included in the estimate are unclear.
Not reviewedUnresolved
- Comparison
-
The financial comparison is not established.
Not reviewedUnresolved
- Method
-
The method used to calculate monetary value is unclear.
Not reviewedUnresolved
- Return and payback
-
The return on investment or payback period is not established.
Not reviewedUnresolved
People and places
- Participants
-
Developer: Ainex Corporation. Operator: Korea University Medical Center and Ewha Womans University Medical Center.
Awaiting review
- Jurisdictions
-
Benefit: Seoul,
South Korea. Developer:
South Korea. Operator:
South Korea.Awaiting review
- Ownership and control
-
Unresolved
Not reviewedUnresolved
- Dependencies
-
Unresolved
Not reviewedUnresolved
- Cross-border connections
-
Unresolved
Not reviewedUnresolved
- Geopolitical implications
-
The geopolitical implications are unclear.
Not reviewedUnresolved
Follow-up
- Conditions for replication
-
The system must run on a compatible endoscopy processor. Baseline detection must leave room for improvement.
Awaiting review
- Replication attempts
-
2 follow-up entries. Benefit recurred: 1. Benefit did not recur: 1.
Awaiting review
- Later findings
-
Unresolved
Not reviewedUnresolved
- Availability
-
Unresolved
Not reviewedUnresolved
- Institutional decision
-
A relevant institutional decision has not been established.
Not reviewedUnresolved
- Grounds
-
The grounds for an institutional decision are unclear.
Not reviewedUnresolved
- Action and result
-
The result of an institutional decision is not established.
Not reviewedUnresolved
- Success criterion
-
The criterion for a successful institutional decision is unclear.
Not reviewedUnresolved
Evidence
- Source numbers
-
AIBD-0646-source-0001–0002
Awaiting review
- Citations
-
Numbered references below.
Awaiting review
- Language
-
Unresolved
Not reviewedUnresolved
- Source relationships
-
Independent
Awaiting review
- Original evidence
-
Unresolved
Not reviewedUnresolved
- Access and versions
-
Unresolved
Not reviewedUnresolved
- Supported findings
-
Unresolved
Not reviewedUnresolved
- Evidence links
-
Unresolved
Not reviewedUnresolved
- Evidence strength
-
Independently studied. Sources: one independent peer-reviewed study. The cited evidence includes no finding by a regulator or court. [1]
Fully reviewedDetails: supporting details for Evidence strength
Review date: 29 October 2026.
Sources: [1]
- Missing evidence
-
Unresolved
Not reviewedUnresolved
Grades
- Assessed benefits
-
People. Organizations.
Awaiting review
- Depth
-
People: 3. Organizations: 2.
Awaiting review
- Reasons
-
People: Adenomas, which are precursors of colorectal cancer, were found and removed in 52.3% of patients with the system against 36.1% without. Organizations: The hospitals raised adenomas found per colonoscopy from 0.8 to 1.2.
Awaiting review
- Observed or intended
-
Unresolved
Not reviewedUnresolved
- Rubric
-
Unresolved
Not reviewedUnresolved
- Assessor and date
-
Unresolved
Not reviewedUnresolved
- Alternative assessments
-
Unresolved
Not reviewedUnresolved
- Fill
-
Independently studied
Awaiting review
Entry details
- Kind
-
The case describes an evaluation or a study. A prospective multicenter randomized controlled trial. [1]
Fully reviewedDetails: supporting details for Kind
Review date: 29 October 2026.
Sources: [1]
- Related entries
-
No incident in the AI Incident Database snapshot of 26 October 2026 concerns the same kind of system harming the same kind of stakeholder.
Partly reviewedUnresolvedDetails: supporting details for Related entries
Compared with the incidents in the AI Incident Database snapshot of 26 October 2026.
- Field
-
Healthcare.
Awaiting review
- Purpose
-
ENAD-DET-01 was built to detect colorectal polyps on the live colonoscopy video. The higher adenoma detection was that purpose.
Awaiting review
- Dates
-
Observed: April 2025. Updated: 29 October 2026.
Awaiting review
- Stage
-
The system was used in a pilot. A randomized trial at two hospitals. [1]
Fully reviewedDetails: supporting details for Stage
Review date: 29 October 2026.
Sources: [1]
- Version
-
SHA-256: 505ea79c604f…
Awaiting reviewDetails: supporting details for Version
SHA-256 of the public case, its assessments, and its displayed answers and notes, excluding its own identifier and the derived coverage summary.
References
- Other identifiers
-
Unresolved
Not reviewedUnresolved
- Category mappings
-
Unresolved
Not reviewedUnresolved
- Citable summary
-
Unresolved
Not reviewedUnresolved
- Revisions
-
1 revision. Latest: 29 October 2026.
Awaiting review
Sources
-
Peer-reviewed study Independent author
Jeon HJ, Keum B, Jeong ES, et al. Clinical Efficacy of Real-Time Artificial Intelligence-Assisted Colonoscopy in Colorectal Polyp Detection: A Prospective Multicenter Randomized Controlled Trial. Gut Liver. 2026;20(1):97-106. doi:10.5009/gnl250369
The CADe group showed significantly higher PDRs (72.2% vs 54.5%; p<0.001; RR, 2.173; 95% confidence interval [CI], 1.669 to 2.828) and ADRs (52.3% vs 36.1%; p<0.001; RR, 1.940; 95% CI, 1.505 to 2.499).
A deep learning-based CADe system (ENAD-DET-01, ENdoscopy as AI-powered Device; Ainex Corporation, Seoul, Korea)