Real-Time Diagnosis of an Early Barrett's Carcinoma using Artificial Intelligence (AI) - Video Case Demonstration

  • Introduction We present a clinical case showing the real-time detection, characterization and delineation of an early Barrett’s cancer using AI. Patients and methods A 70-year old patient with a long-segment Barrett’s esophagus (C5M7) was assessed with an AI algorithm. Results The AI system detected a 10 mm focal lesion and AI characterization predicted cancer with a probability of >90%. After ESD resection, histopathology showed mucosal adenocarcinoma (T1a (m), R0) confirming AI diagnosis. Conclusion We demonstrate the real-time AI detection, characterization and delineation of a small and early mucosal Barrett’s cancer.

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Author:Alanna EbigboORCiD, Robert Mendel, Georgios Tziatzios, Andreas Probst, Christoph PalmORCiDGND, Helmut Messmann
Parent Title (English):Endoscopy
Document Type:conference proceeding (presentation, abstract)
Year of first Publication:2020
Release Date:2022/05/30
Tag:Artificial Intelligence; Barrett's Carcinoma
GND Keyword:Speiseröhrenkrebs; Künstliche Intelligenz; Diagnose
Issue:S 01
Konferenzangabe:ESGE Days 2020
Institutes:Fakultät Informatik und Mathematik
Fakultät Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC)
research focus:Lebenswissenschaften und Ethik
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG