Publication | Closed Access
Artificial Intelligence-Aided Colonoscopy Does Not Increase Adenoma Detection Rate in Routine Clinical Practice
103
Citations
3
References
2022
Year
Artificial IntelligenceEngineeringEndoscopy SuitesDigital PathologyGastroenterologyDiagnosisPathologySurgeryIntelligent SystemsArtificial Intelligence-aided ColonoscopyCancer DetectionColonoscopyAi HealthcareRadiologyMedical ImagingAbdominal ImagingRoutine Clinical PracticeGi TechniquePolyp Detection RatesMedical Image ComputingComputer-aided DiagnosisInterventional EndoscopyMedicineHealth Informatics
The performance of artificial intelligence-aided colonoscopy (AIAC) in a real-world setting has not been described. We compared adenoma and polyp detection rates (ADR/PDR) in a 6-month period before (pre-AIAC) and after introduction of AIAC (GI Genius, Medtronic) in all endoscopy suites in our large-volume center. The ADR and PDR in the AIAC group was lower compared with those in the pre-AIAC group (30.3% vs 35.2%, P < 0.001; 36.5% vs 40.9%, P = 0.004, respectively); procedure time was significantly shorter in the AIAC group. In summary, introduction of AIAC did not result in performance improvement in our large-center cohort, raising important questions on AI-human interactions in medicine.
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