ReviewJournal of clinical medicine2023
A Comprehensive Guide to Artificial Intelligence in Endoscopic Ultrasound.
Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 28 citations in OpenAlex.
- High-Frequency Miniprobe Endoscopic Ultrasonography Across the Gastrointestinal Tract.Diagnostics (Basel, Switzerland) · 2026Review
- The Fatty Pancreas: Current Evidence, Treatment Implications, and Future Directions.Gastro hep advances · 2026Review
- Endoscopic ultrasound-guided radiofrequency ablation of pancreatic tumors: Current status and future perspectives.World journal of methodology · 2025Review
- Two scopes, one mission: An integrated approach of endoscopic retrograde cholangiopancreatography and endoscopic ultrasound to biliary strictures.World journal of gastroenterology · 2025Review
- Endoscopic ultrasound in the management of complications related to cirrhosis- recent evidence.World journal of gastrointestinal endoscopy · 2025Review
- Endoscopic ultrasound training: Current state, challenges, and the path to proficiency.World journal of gastrointestinal endoscopy · 2025Review
- Endoscopic Ultrasound as a Diagnostic Tool for the Mediastinum and Thorax.Journal of clinical medicine · 2025Review
- Artificial intelligence system for EUS navigation and anatomical landmark recognition.VideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy · 2025Article
- Advancements in the diagnosis of biliopancreatic diseases: A comparative review and study on future insights.World journal of gastrointestinal endoscopy · 2025Review
- Advances in Endo-Hepatology: The Role of Endoscopic Ultrasound in the Management of Portal Hypertension.Diagnostics (Basel, Switzerland) · 2025Review
- Interobserver variability in lymph node evaluation with endoscopic ultrasonography in cholangiocarcinoma.Endoscopy international open · 2025Article
- Review
- Basic Principles and Role of Endoscopic Ultrasound in Diagnosis and Differentiation of Pancreatic Cancer from Other Pancreatic Lesions: A Comprehensive Review of Endoscopic Ultrasound for Pancreatic Cancer.Journal of clinical medicine · 2024Review
- Applications and Prospects of Artificial Intelligence-Assisted Endoscopic Ultrasound in Digestive System Diseases.Diagnostics (Basel, Switzerland) · 2023Review
- The Role of EUS in Advanced Endoscopic Procedures and Therapeutics-Advancing the Field to Greater Heights.Journal of clinical medicine · 2023Article
- Artificial intelligence in gastrointestinal endoscopy: a comprehensive review.Annals of gastroenterologyReview
- What can artificial intelligence do for EUS?Endoscopic ultrasoundArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndoscopic Ultrasound (EUS) is widely used for the diagnosis of bilio-pancreatic and gastrointestinal (GI) tract diseases, for the evaluation of subepithelial lesions, and for sampling of lymph nodes and solid masses located next to the GI tract. The role of Artificial Intelligence in healthcare in growing. This review aimed to provide an overview of the current state of AI in EUS from imaging to pathological diagnosis and training.
methodsAI algorithms can assist in lesion detection and characterization in EUS by analyzing EUS images and identifying suspicious areas that may require further clinical evaluation or biopsy sampling. Deep learning techniques, such as convolutional neural networks (CNNs), have shown great potential for tumor identification and subepithelial lesion (SEL) evaluation by extracting important features from EUS images and using them to classify or segment the images.
resultsAI models with new features can increase the accuracy of diagnoses, provide faster diagnoses, identify subtle differences in disease presentation that may be missed by human eyes, and provide more information and insights into disease pathology.
conclusionsThe integration of AI in EUS images and biopsies has the potential to improve the diagnostic accuracy, leading to better patient outcomes and to a reduction in repeated procedures in case of non-diagnostic biopsies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.