227 results on '"Ogawa, Yushi"'
Search Results
2. Endoscopic resection alone as a potential treatment method for low-risk deep invasive T1 colorectal cancer
3. Relaxin contributes to the elevation of monocytic myeloid-derived suppressor cells in peripheral blood of pregnant canines
4. Comprehensive Diagnostic Performance of Real-Time Characterization of Colorectal Lesions Using an Artificial Intelligence–Assisted System: A Prospective Study
5. Endocytoscopy for the differential diagnosis of colorectal low-grade adenoma: a novel possibility for the “resect and discard” strategy
6. Endoscopic submucosal dissection for colorectal neoplasms: Risk factors for local recurrence and long‐term surveillance.
7. Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience
8. Endoscopic submucosal dissection for colorectal neoplasms: Risk factors for local recurrence and long‐term surveillance
9. Impact of computer‐aided characterization for diagnosis of colorectal lesions, including sessile serrated lesions: Multireader, multicase study.
10. Depressed Colorectal Cancer: A New Paradigm in Early Colorectal Cancer
11. A NOVEL ENDOSCOPIC RESECTION APPROACH FOR T2 COLORECTAL CANCER -ANALYSIS OF RISK FACTORS FOR LYMPH NODE METASTASIS-
12. DIAGNOSTIC PERFORMANCE OF ARTIFICIAL INTELLIGENCE AND MAGNIFYING ENDOSCOPY IN THE PREDICTION OF THE INVASION DEPTH OF EARLY COLORECTAL CANCER
13. DISTINCTIVE ASPECTS OF DEPRESSED TYPE COLORECTAL NEOPLASMS SHOWN IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY
14. EVALUATION OF THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI)-ASSISTED CHARACTERIZATION FOR COLORECTAL LESIONS USING NARROW-BAND IMAGING FOR THE DIAGNOSTIC OF ENDOSCOPISTS -MULTI-READER, MULTI-CASE STUDY-
15. A PROOF CONCEPT STUDY FOR COLORECTAL ENDOSCOPIC SUBMUCOSAL DISSECTION NAVIGATION BY USING ARTIFICIAL INTELLIGENCE
16. Whole slide image‐based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence.
17. Novel computer-aided diagnostic system for colorectal lesions by using endocytoscopy (with videos)
18. Attenuated RND1 Expression Confers Malignant Phenotype and Predicts Poor Prognosis in Hepatocellular Carcinoma
19. Molecular and clinicopathological differences between depressed and protruded T2 colorectal cancer
20. Efficiency of endocytoscopy in differentiating types of serrated polyps
21. Comprehensive Diagnostic Performance of Real-Time Characterization of Colorectal Lesions Using an Artificial Intelligence–Assisted System: A Prospective Study
22. Use of advanced endoscopic technology for optical characterization of neoplasia in patients with ulcerative colitis: Systematic review
23. THE INDICATION FOR ADDITIONAL SURGERY WITH LYMPH NODE DISECTION AMONG ELDERY PATIENTS WITH T1 COLORECTAL CANCERS TREATED ENDOSCOPICALLY
24. EFFECTIVENESS OF OBSERVING DEPRESSED-TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY.
25. “VASCULAR HEALING” DIAGNOSED WITH ARTIFICIAL INTELLIGENCE ASSISTED NARROW-BAND IMAGING DURING COLONOSCOPY: A NOVEL TREAT-TO-TARGET IN PATIENTS WITH ULCERATIVE COLITIS
26. MOLECULAR AND CLINICOPATHOLOGICAL FEATURES OF DEPRESSED T2 COLORECTAL CANCER BASED ON CMS CLASSIFICATION
27. ARTIFICIAL INTELLIGENCE-ASSISTED PREDICTION OF LYMPH NODE METASTASIS IN COLORECTAL CANCER USING WHOLE PATHOLOGICAL SLIDE IMAGES
28. Changes in halitosis value before and afterHelicobacter pylorieradication: A single‐institutional prospective study
29. Clinical and endoscopic characteristics of post-colonoscopy colorectal cancers detected within 10 years after a previous negative examination
30. EVALUATING THE IMPACT OF COMPUTER-AIDED QUALITY IMPROVEMENT ON COLONOSCOPY.
31. A PROSPECTIVE OBSERVATIONAL STUDY TO EVALUATE THE ABILITY OF AN ARTIFICIAL INTELLIGENCE NAVIGATION SYSTEM TO RECOGNIZE BLOOD VESSELS, SUBMUCOSA, AND MUSCLE LAYERS IN COLORECTAL SUBMUCOSAL DISSECTION.
32. ID: 3526637 ARTIFICIAL INTELLIGENCE-ASSISTED DIAGNOSTIC SYSTEM FOR NARROW-BAND IMAGING FOR COLORECTAL LESIONS.
33. ID: 3525665 DIAGNOSING COLORECTAL LOW-GRADE ADENOMA USING ENDOCYTOSCOPY
34. Combined endocytoscopy with pit pattern diagnosis in ulcerative colitis‐associated neoplasia: Pilot study
35. WHOLE-SLIDE IMAGES USING ARTIFICIAL INTELLIGENCE CAN DECIDE THE NEED FOR SECONDARY SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER
36. Does the selection of colonoscope affect the quality of difficult-insertion cases?: PR0116: Endoscopy and Imaging (Diagnostic Imaging)
37. Changes in halitosis value before and after Helicobacter pylori eradication: A single‐institutional prospective study.
38. Current status and future perspective on artificial intelligence for lower endoscopy
39. Endocytoscopic intramucosal capillary network changes and crypt architecture abnormalities can predict relapse in patients with an ulcerative colitis Mayo endoscopic score of 1
40. Sa2059 THE GOBLET APPEARANCE OBSERVED WITH ENDOCYTOSCOPY FOR PREDICTION OF HISTOLOGICAL MUCIN DEPLETION AND CLINICAL RELAPSE IN PATIENTS WITH ULCERATIVE COLITIS.
41. Sa2023 USE OF ARTIFICIAL INTELLIGENCE TO PREVENT SEVERE PERFORATION DURING ENDOSCOPIC SUBMUCOSAL DISSECTION FOR COLORECTAL NEOPLASM: A PROOF-OF-CONCEPT STUDY
42. Combined endocytoscopy with pit pattern diagnosis in ulcerative colitis‐associated neoplasia: Pilot study.
43. CLINICAL FEATURES OF DEPRESSED TYPE COLORECTAL NEOPLASMS OBSERVED IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY.
44. CLINICOPATHOLOGICAL FEATURES OF THE TIS, T１, T２ RECTAL CANCER.
45. PREDICTION OF LYMPH NODE METASTASIS IN T1 COLORECTAL CANCER BASED ON ARTIFICIAL INTELLIGENCE-ASSISTED DIGITAL PATHOLOGY.
46. COMPARISON OF DIAGNOSTIC ACCURACY IN DEPTH DIAGNOSIS FOR COLORECTAL CANCER USING ENDOCYTOSCOPY WITH ARTIFICIAL INTELLIGENCE.
47. GTF2IRD1 on chromosome 7 is a novel oncogene regulating the tumor‐suppressor gene TGFβR2 in colorectal cancer
48. Oncogenic splicing abnormalities induced byDEAD‐Box Helicase 56amplification in colorectal cancer
49. Tu1990 ARTIFICIAL INTELLIGENCE-ASSISTED POLYP DETECTION SYSTEM FOR COLONOSCOPY, BASED ON THE LARGEST AVAILABLE COLLECTION OF CLINICAL VIDEO DATA FOR MACHINE LEARNING
50. Su1344 CHANGE IN HALITOSIS VALUE HELICOBACTER PYLOLI ERADICATION: A SINGLE INSTITUTIONAL PROSPECTIVE ANALYSIS
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