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1. Endoscopic hand suturing using a modified through‐the‐scope needle holder for mucosal closure after colorectal endoscopic submucosal dissection: Prospective multicenter study (with video).

2. Exploratory investigation of virtual lesions in gastrointestinal endoscopy using a novel phase‐shift method for three‐dimensional shape measurement

5. Artificial Intelligence-assisted System Improves Endoscopic Identification of Colorectal Neoplasms

6. Left-sided location is a risk factor for lymph node metastasis of T1 colorectal cancer: a single-center retrospective study

8. Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

9. Endoscopic submucosal dissection for colorectal neoplasms: Risk factors for local recurrence and long‐term surveillance

13. ENDOSCOPIC FEATURES OF PRIMARY MALIGNANT MELANOMA OF THE ESOPHAGUS

15. Cost‐effectiveness analysis of computer‐aided detection systems for colonoscopy in Japan.

22. USEFULNESS OF TEXTURE AND COLOR ENHANCEMENT IMAGING FOR DETECTION OF COLORECTAL NEOPLASMS.

29. Gastric cancer metastasis to the transverse colon requiring differentiation from early-stage colorectal cancer

30. ID: 3522787 IMPORTANCE OF OBSERVING DEPRESSED-TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDCYTOSCOPY

31. ID: 3521050 HOW TO DIAGNOSE TUMOR DIFFERENTIATION AS A RISK FACTOR FOR LYMPH NODE METASTASIS IN T1 COLORECTAL CANCER?

32. ID: 3521790 DOES ARTIFICIAL INTELLIGENCE IMPROVE NEOPLASMS DETECTION RATE FOR COLONOSCOPY? - A SINGLE CENTER PILOT STUDY

33. ID: 3526637 ARTIFICIAL INTELLIGENCE-ASSISTED DIAGNOSTIC SYSTEM FOR NARROW-BAND IMAGING FOR COLORECTAL LESIONS.

34. ID: 3522946 EC-V (ENDOCYTOSCOPIC VASCULAR) CLASSIFICATION IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS

35. ID: 3521853 CLINICAL AND PATHOLOGICAL CHARACTERISTICS OF DEPRESSED-TYPE COLORECTAL NEOPLASMS

37. Effects of the use of a wavy cap on the tip of the colonoscope on the training performance of novice endoscopists for colonoscopy

38. Sa2029 EC-V (ENDOCYTOSCOPIC VASCULAR) PATTERN IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS

39. Mo1644 THE CLINICOPATHOLOGICAL FEATURES OF DEPRESSED-TYPE COLORECTAL NEOPLASMS

40. 435 PREDICTION OF LYMPH NODE METASTASIS IN T2 COLORECTAL CANCER BASED ON ARTIFICIAL INTELLIGENCE –PROPOSAL OF AN INDICATION FOR FUTURE FULL-THICKNESS ENDOSCOPIC RESECTION-

41. Sa2023 USE OF ARTIFICIAL INTELLIGENCE TO PREVENT SEVERE PERFORATION DURING ENDOSCOPIC SUBMUCOSAL DISSECTION FOR COLORECTAL NEOPLASM: A PROOF-OF-CONCEPT STUDY

42. Su1068 CLINICOPATHOLOGICAL FEATURES OF "SMALL" T1 COLORECTAL CANCERS

43. 433 ENDOSCOPIC FEATURE OF DEPRESSED TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY

44. Endocytoscopy with NBI has the potential to correctly diagnose diminutive colorectal polyps that are difficult to diagnose using conventional NBI

45. ENDOSCOPIC HAND SUTURING USING A MODIFIED THROUGH-THE-SCOPE NEEDLE HOLDER FOR MUCOSAL CLOSURE AFTER COLORECTAL ENDOSCOPIC SUBMUCOSAL DISSECTION: A PROSPECTIVE MULTI-CENTER STUDY.

46. Mo1653 DAY SURGERY OF ENDOSCOPIC SUBMUCOSAL DISSECTION FOR COLORECTAL NEOPLASMS

47. 475 ARTIFICIAL INTELLIGENCE WILL HELP IN DETERMINING THE NEED FOR ADDITIONAL SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER –ANALYSIS BASED ON A BIG DATA FOR MACHINE LEARNING

48. Tu1990 ARTIFICIAL INTELLIGENCE-ASSISTED POLYP DETECTION SYSTEM FOR COLONOSCOPY, BASED ON THE LARGEST AVAILABLE COLLECTION OF CLINICAL VIDEO DATA FOR MACHINE LEARNING

49. Su1713 CLINICOPATHOLOGICAL DIFFERENCES BETWEEN RIGHT- AND LEFT-SIDED T1 COLORECTAL CANCER: A SINGLE CENTER RETROSPECTIVE STUDY

50. Tu1942 CLASSIFICATION OF NUCLEAR MORPHOLOGICAL FINDINGS FOR COLORECTAL NEOPLASMS USING ENDOCYTOSCOPY (EC)

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