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World J Transl Med. Jul 28, 2026; 12(2): 123702
Published online Jul 28, 2026. doi: 10.5528/wjtm.123702
Published online Jul 28, 2026. doi: 10.5528/wjtm.123702
Artificial intelligence in endoscopic ultrasound-guided biliary drainage: Emerging applications, technical challenges, and future directions
Ahmed Salman, Department of Internal Medicine, Kasr Alainy School of Medicine, Cairo 43544, Al Qāhirah, Egypt
Ahmed Elewa, Department of General Surgery, National Hepatology and Tropical Medicine Liver Institute, Cairo 16A, Egypt
Ahmad Marwan, Department of Internal Medicine, Faculty of Medicine, Mansoura University, Mansoura 3153, Egypt
Mohamed AbdAlla Salman, Department of General Surgery, Kasralainy School of Medicine, Cairo 11562, Egypt
Author contributions: Salman A contributed to the study conception, literature review, manuscript drafting, critical revision, and final approval of the manuscript; Elewa A contributed to manuscript revision, intellectual content review, and final approval of the manuscript; Marwan A contributed to manuscript drafting, critical revision, and final approval of the manuscript; Salman MA contributed to manuscript revision, intellectual content review, and final approval of the manuscript, made a substantial contribution to the literature review, interpretation of the evidence, and critical revision of the manuscript for important intellectual content.
AI contribution statement: Artificial intelligence tools, including ChatGPT and Grammarly, were used only for language refinement, grammar checking, and improving clarity during manuscript preparation and revision. All scientific content, interpretations, references, and final decisions were reviewed and approved by the authors. The authors take full responsibility for the integrity, accuracy, originality, and scientific validity of the manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Ahmed Salman, FRACP, FRCP, MRCP, Associate Professor, Depart
Received: May 27, 2026
Revised: June 20, 2026
Accepted: July 7, 2026
Published online: July 28, 2026
Processing time: 64 Days and 1.4 Hours
Revised: June 20, 2026
Accepted: July 7, 2026
Published online: July 28, 2026
Processing time: 64 Days and 1.4 Hours
Core Tip
Core Tip: Artificial intelligence (AI) could become an important add-on to endoscopic ultrasound (EUS)-guided biliary drainage by supporting patient selection, pre-procedural planning, anatomical recognition, real-time procedural guidance, and adverse-event prediction. Although direct clinical evidence remains limited, AI has the potential to enhance procedural precision, reduce operator dependence, and improve training during this technically demanding procedure. Future adoption will necessitate multicenter datasets, prospective validation, explainable models, and seamless integration into the therapeutic EUS workflow.