Gallbladder carcinoma in the era of artificial intelligence: Early diagnosis for better treatment.

World J Gastrointest Oncol

Department of Anatomy, Division of Human Biology, School of Medicine, IMU University, Kuala Lumpur 57000, Kuala Lumpur, Malaysia.

Published: January 2025

Gallbladder carcinoma (GBC) is the most common malignant tumor of biliary tract, with poor prognosis due to its aggressive nature and limited therapeutic options. Early detection of GBC is a major challenge, with most GBCs being detected accidentally during cholecystectomy procedures for gallbladder stones. This letter comments on the recent article by Deqing in the , which summarized the various current methods used in early diagnosis of GBC, including endoscopic ultrasound (EUS) examination of the gallbladder for high-risk GBC patients, and the use of EUS-guided elastography, contrast-enhanced EUS, trans-papillary biopsy, natural orifice transluminal endoscopic surgery, magnifying endoscopy, choledochoscopy, and confocal laser endomicroscopy when necessary for early diagnosis of GBC. However, there is a need for novel methods for early GBC diagnosis, such as the use of artificial intelligence and non-coding RNA biomarkers for improved screening protocols. Additionally, the use of and animal models may provide critical insights for advancing early detection and treatment strategies of this aggressive tumor.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664630PMC
http://dx.doi.org/10.4251/wjgo.v17.i1.99994DOI Listing

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