Informace o publikaci
Ascending the "Hill" of Artificial Intelligence in Upper Gastrointestinal Endoscopy
| Autoři | |
|---|---|
| Rok publikování | 2024 |
| Druh | Článek v odborném periodiku (nerecenzovaný) |
| Fakulta / Pracoviště MU | |
| Citace | |
| Popis | The recent study by Kafetzis et al. on AI-assisted Hill classification represents a significant advancement in the standardization of gastroesophageal junction (GEJ) assessment. The importance of accurate GEJ evaluation cannot be overstated, particularly in the context of gastroesophageal reflux disease (GERD) and Barrett's esophagus. The Hill grade classification, an endoscopic classification of the anti-reflux barrier focused on the flap valve, has been reported to correlate with the severity of GERD. However, clinical utilization of this classification has been limited mainly due to inter-observer variability. The application of artificial intelligence (AI) in gastrointestinal endoscopy has gained significant traction in the past decade. Particularly in the field of upper gastrointestinal endoscopy, the application of AI has been focused on the detection and characterization of pre-malignant and malignant lesions, and this work thus represents a part of the recent shift toward addressing this imbalance. |