Endo-hepatology: Bridging the gap between lumen and liver

Figure 2 Artificial intelligence and image enhancement in colonoscopy. This figure illustrates the current and emerging applications of artificial intelligence and image enhancement technologies in colonoscopy. It highlights three main domains: Computer-aided detection for polyp identification, computer-aided diagnosis for real-time histologic assessment, and quality assurance tools to improve procedural outcomes. Examples include narrow band imaging, chromoendoscopy, endocytoscopy, and machine learning for procedure scheduling. CADe: Computer-aided detection; CADx: Computer-aided diagnosis; ADR: Adenoma detection rate; APC: Adenoma per colonoscopy; NBI: Narrow band imaging.