Capsule endoscopy is a first‑line investigative modality for small intestine diseases. Magnetically controlled capsule endoscopy is also increasingly prominent in the diagnosis of upper gastrointestinal tract diseases. Artificial intelligence (AI) technology plays an important role in the quality control and auxiliary diagnosis of capsule endoscopy. However, currently there is no consensus on the application of AI systems for capsule endoscopy at home and abroad. In 2024, Big Data Collaboration Group, Digestive Endoscopy Branch of Chinese Medical Association organized discussions among authoritative experts in the field across the country, combined with the latest evidence‑based medical evidence, and formed expert consensus on the clinical application of AI systems in capsule endoscopy, aiming to provide comprehensive and rational decision‑making evidence for endoscopists applying capsule endoscopic AI systems. This consensus includes 9 recommended statements on AI in the quality control in capsule endoscopic examinations, the auxiliary detection of gastrointestinal lesions, the diagnosis of small intestinal bleeding lesions, the diagnosis of Crohn disease, and the diagnosis of colonic elevated lesions.