Since its introduction in 2001, small bowel capsule endoscopy has been pivotal in diagnosing small bowel pathology due to its minimally invasive nature and high diagnostic accuracy. However, the technology has limitations, including prolonged reading times and the need for specialized endoscopists. The Navicam endoscopic capsule, leveraging artificial intelligence (AI) with ProScan™ for automated reading, promises to address these limitations by reducing reading times and enhancing diagnostic efficiency. This study aims to assess the diagnostic concordance and to compare the efficiency of the AI-based Navicam capsule with the conventional Pillcam SB3 in the exploration of the small bowel.