Optimizing endoscopic ultrasound guided fine needle aspiration through artificial intelligence-Reference-Cited by-同舟云学术

Optimizing endoscopic ultrasound guided fine needle aspiration through artificial intelligence

Published:2023-06 Issue:6 Volume:38 Page:839-840
ISSN:0815-9319
Container-title:Journal of Gastroenterology and Hepatology
language:en
Short-container-title:J of Gastro and Hepatol

Author:

Wang Lai Mun¹^ORCID,Ang Tiing Leong²^ORCID

Affiliation:

1. Department of Anatomical Pathology, Changi General Hospital, SingHealth Duke‐NUS Medical School Singapore

2. Department of Gastroenterology and Hepatology, Changi General Hospital, SingHealth; Duke‐NUS Medical School; Yong Loo Lin School of Medicine, National University of Singapore; Lee Kong Chian School of Medicine Nanyang Technological University Singapore

Publisher

Wiley

Subject

Gastroenterology,Hepatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jgh.16242

Reference11 articles.

1. Rapid on‐site evaluation by endoscopists: Another option to improve the diagnostic yield of EUS‐FNA of solid pancreatic lesions

2. Challenges of developing artificial intelligence‐assisted tools for clinical medicine

3. Effect of computer‐aided colonoscopy on adenoma miss rates and polyp detection: A systematic review and meta‐analysis

4. Artificial intelligence in gastrointestinal endoscopy

5. Current and future applications of artificial intelligence in pathology: a clinical perspective

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1. Artificial Intelligence in Endoscopic Ultrasonography-Guided Fine-Needle Aspiration/Biopsy (EUS-FNA/B) for Solid Pancreatic Lesions: Opportunities and Challenges;Diagnostics;2023-09-26