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1. Efficient artificial intelligence-based assessment of the gastroesophageal valve with Hill classification through active learning

2. Hiatal Hernias Revisited—A Systematic Review of Definitions, Classifications, and Applications

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3. Evaluation of a Virtual Reality-Based Open Educational Resource Software

4. Automated classification of polyps using deep learning architectures and few-shot learning

5. Brood size in an uncertain world

6. Fast machine learning annotation in the medical domain: a semi-automated video annotation tool for gastroenterologists

7. Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy

8. The Role of Specialized Instruments for Advanced Endoscopic Resections in Gastrointestinal Disease

9. Design and Development of a Flexible 3D-Printed Endoscopic Grasping Instrument

10. A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks

11. Autonomous Nervous Response During Sedation in Colonoscopy and the Relationship With Clinician Satisfaction

12. Direct endoscopic necrosectomy in infected pancreatic necrosis using lumen-apposing metal stents: Early intervention does not compromise outcome

13. Evaluation of an Objective Measurement Tool for Stress Level Reduction by Individually Chosen Music During Colonoscopy—Results From the Study 'ColoRelaxTone'

14. Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images

15. The 'Twist-Needle' – a new concept for endoscopic ultrasound-guided fine needle-biopsy

16. HTC Vive MeVisLab integration via OpenVR for medical applications.

17. Comprehensive analysis of cellular galectin-3 reveals no consistent oncogenic function in pancreatic cancer cells.

18. PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy.

21. RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cuts.

22. A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems

23. Artificial intelligence based polyp size measurement in gastrointestinal endoscopy using the auxiliary water jet as a reference

25. Current status and limitations of artificial intelligence in colonoscopy

27. Task force greener gastroenterology: Towards eco-friendly practices in healthcare

28. Innovations in GI-endoscopy

29. Pilot study of a new freely available computer-aided polyp detection system in clinical practice

31. A Real-Time Polyp Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks

33. Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions

36. Interactive Volumetry Of Liver Ablation Zones.

37. Etiology and Morphology Impact on the Clinical Course of Chronic Pancreatitis

38. Umfrage: Was hat Sie dazu bewogen, die Gastroenterologie als Fachgebiet auszuwählen?

39. Fast Machine Learning Annotation in the Medical Domain: A Semi-Automated Video Annotation Tool for Gastroenterologists

40. Artificial Intelligence in Endoscopy

41. Chemotherapeutic agents eligible for prior dosing in pancreatic cancer patients requiring hemodialysis: a systematic review

43. Adapting the World Health Organization’s Surgical Safety Checklist to High-Income Settings: A Hybrid Effectiveness-Implementation Trial Protocol

44. Targeted deep sequencing of circulating tumor DNA in metastatic pancreatic cancer

45. Gastrointestinal Bleeding Diagnosed by Capsule Endoscopy – A Change towards More Patients with Bleeding-related Drugs

46. New devices for endoscopic treatments in gastroenterology: A narrative review

47. Virtual reality in GI endoscopy: intuitive zoom for improving diagnostics and training

48. Multicenter, randomized comparison of the diagnostic accuracy of 19-gauge stainless steel and nitinol-based needles for endoscopic ultrasound-guided fine-needle biopsy of solid pancreatic masses

49. [Survey: Why did you become a gastroenterologist?]

50. Single nucleotide polymorphisms as the new predictors of therapy decisions in gastroesophageal junction and gastric adenocarcinoma?