In 2026, the technical complexity of ERCP—often considered one of the most difficult endoscopic procedures to master—has been significantly mitigated by Artificial Intelligence (AI). A major highlight in the endoscopic retrograde cholangiopancreatography market is the integration of AI-driven "cannulation assistants" that provide real-time guidance to the endoscopist. These systems use deep-learning algorithms to identify the precise orientation of the papilla and suggest the optimal angle for the guidewire. This technology is proving vital for reducing "failed cannulation" rates, which previously led to painful complications like post-ERCP pancreatitis. By acting as a high-tech "co-pilot," AI is allowing less-experienced endoscopists to achieve expert-level results, effectively broadening the reach of specialized biliary care to rural and community hospitals.

This digital revolution also extends to "fluoroscopy-free" navigation and advanced 3D imaging. In 2026, many endoscopy centers are adopting digital single-operator cholangioscopy (DSOC) systems that provide a direct, high-definition view of the bile duct, reducing the reliance on traditional X-ray imaging. This is significantly lowering radiation exposure for both the patient and the medical staff. Within the medical-device sector, this trend is driving a surge in "smart endotherapy" tools, such as intelligent sphincterotomes and lithotripters that can automatically sense tissue resistance. By combining the "eyes" of the endoscopist with the "brain" of the AI, the industry is creating a new standard of precision that makes the most complex pancreatic and biliary interventions safer and more predictable than ever before.

Do you think that "AI-guided surgery" will eventually make it possible for every hospital to offer expert-level ERCP?

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