Benefits
- Benefit
-
NICE reviewed 70 studies, most of them randomized trials, and concluded that AI polyp detection systems such as GI Genius improve the adenoma detection rate in colonoscopy.
Awaiting review
- Outcome identifiers
-
Unresolved
Not reviewedUnresolved
- Category
-
Improved Task Accuracy
Awaiting review
- Status
-
Reported benefit
Awaiting review
- Beneficiary groups
-
People.
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
-
AI computer-aided detection (CADe) for colonoscopy: CADDIE, CAD EYE, ENDO-AID, EndoScreener, GI Genius and MAGENTIQ-COLO
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 software ran during live colonoscopy and highlighted areas of concern for the endoscopist. Endoscopists made the decisions on what to remove.
Awaiting review
- Human oversight
-
Unresolved
Not reviewedUnresolved
- Relation to AI
-
Most of the 70 studies were randomized controlled trials that compared colonoscopy with and without the AI software.
Awaiting review
- AI contribution
-
Most of the 70 studies were randomized controlled trials that compared colonoscopy with and without the AI software.
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
-
Meta-analysis of the adenoma detection rate for each technology by the external assessment group. [1]
Fully reviewedDetails: supporting details for Measurement
Review date: 29 October 2026.
Sources: [1]
- Setting and sample
-
70 studies of AI-assisted live colonoscopy, mostly randomized controlled trials. [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
-
Standard colonoscopy. [1]
Fully reviewedDetails: supporting details for Comparison
Review date: 29 October 2026.
Sources: [1]
- Results
-
Statistically significant improvement for most technologies; not significant for advanced adenomas or sessile serrated lesions. [1]
Fully reviewedDetails: supporting details for Results
Review date: 29 October 2026.
Sources: [1]
- Additional value from AI
-
Higher adenoma detection rate overall. [1]
Fully reviewedDetails: supporting details for Additional value from AI
Review date: 29 October 2026.
Sources: [1]
- Limitations
-
Gains mostly in small non-advanced adenomas; effect on cancer rates uncertain; little data on false positives. [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: Odin Vision (CADDIE), Fujifilm (CAD EYE), Olympus Medical Systems (ENDO-AID), Wision AI (EndoScreener), Medtronic (GI Genius) and Magentiq Eye (MAGENTIQ-COLO). Operator: Endoscopy services in the trials reviewed by NICE; NHS services in England during the evidence generation period.
Awaiting review
- Jurisdictions
-
Benefit: Multiple countries (trials); England,
United Kingdom (guidance). Developer: Multiple:
United Kingdom,
Japan,
China,
Ireland,
Israel. Operator: Multiple.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 extra detections include clinically significant polyps. Endoscopists keep their own inspection technique while using the software.
Awaiting review
- Replication attempts
-
1 follow-up entry. Benefit recurred: 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-0653-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
-
Found by a regulator. Sources: two independent regulatory documents. The cited evidence includes no independent study or report. [1] [2]
- Missing evidence
-
Unresolved
Not reviewedUnresolved
Grades
- Assessed benefits
-
People.
Awaiting review
- Depth
-
People: 2.
Awaiting review
- Reasons
-
People: Pooled trial data showed a statistically significant rise in the adenoma detection rate for most systems.
Awaiting review
- Observed or intended
-
Unresolved
Not reviewedUnresolved
- Rubric
-
Unresolved
Not reviewedUnresolved
- Assessor and date
-
Unresolved
Not reviewedUnresolved
- Alternative assessments
-
Unresolved
Not reviewedUnresolved
- Fill
-
Found by a regulator
Awaiting review
Entry details
- Kind
-
The case describes an evaluation or a study. A health technology assessment of many trials. [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
-
The systems were built to help endoscopists find polyps during colonoscopy. A higher adenoma detection rate is that purpose.
Awaiting review
- Dates
-
Source published: 19 March 2026. Updated: 29 October 2026.
Awaiting review
- Stage
-
The system was in routine use. The trials used the systems in live colonoscopy, and NICE allows NHS use during evidence generation. [1]
Fully reviewedDetails: supporting details for Stage
Review date: 29 October 2026.
Sources: [1]
- Version
-
SHA-256: 6e42bfa0a273…
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
-
Regulatory document Independent author
The committee concluded that using the AI technologies improves ADR overall.
-
Regulatory document Independent author
Clinical evidence shows that AI technologies can help endoscopists detect adenomatous polyps (which can develop into colorectal cancer) during colonoscopy which might have otherwise been missed.
Collections: Scrutiny and findings.