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Your search keyword '"Yasuharu, Maeda"' showing total 140 results

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1. Artificial intelligence-enabled advanced endoscopic imaging to assess deep healing in inflammatory bowel disease

2. AI and endoscopy/histology in UC: the rise of machine

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

4. Diagnostic performance of endocytoscopy with normal pit‐like structure sign for colorectal low‐grade adenoma compared with conventional modalities

5. Final Analysis of COVID-19 Patients With Inflammatory Bowel Disease in Japan (J-COSMOS): A Multicenter Registry Cohort Study

6. Comprehensive Diagnostic Performance of Real-Time Characterization of Colorectal Lesions Using an Artificial Intelligence–Assisted System: A Prospective Study

7. Clinical Efficacy of Endocytoscopy for Gastrointestinal Endoscopy

8. Endocytoscopy with automated multispectral intestinal barrier pathology imaging for assessment of deep healing to predict outcomes in ulcerative colitis.

9. Clinical and endoscopic characteristics of post-colonoscopy colorectal cancers detected within 10 years after a previous negative examination

10. Image-Enhanced Capsule Endoscopy Improves the Identification of Small Intestinal Lesions

11. Endoscopic resection alone as a potential treatment method for low-risk deep invasive T1 colorectal cancer

12. Final analysis of COVID-19 patients with inflammatory bowel disease in Japan (J-COSMOS): a multicenter registry cohort study

14. A NOVEL ENDOSCOPIC RESECTION APPROACH FOR T2 COLORECTAL CANCER -ANALYSIS OF RISK FACTORS FOR LYMPH NODE METASTASIS-

15. A PROOF CONCEPT STUDY FOR COLORECTAL ENDOSCOPIC SUBMUCOSAL DISSECTION NAVIGATION BY USING ARTIFICIAL INTELLIGENCE

16. Use of advanced endoscopic technology for optical characterization of neoplasia in patients with ulcerative colitis: Systematic review

17. Whole slide image‐based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence

18. Narrow band imaging efficiency in evaluation of mucosal healing/relapse of ulcerative colitis

19. Beyond complete endoscopic healing: Goblet appearance using an endocytoscope to predict future sustained clinical remission in ulcerative colitis

20. Clinicopathological features of small T1 colorectal cancers

21. White light-emitting contrast image capsule endoscopy for visualization of small intestine lesions: a pilot study

22. Use of endocytoscopy for identification of sessile serrated adenoma/polyps and hyperplastic polyps by quantitative image analysis of the luminal areas

23. Comprehensive Diagnostic Performance of Real-Time Characterization of Colorectal Lesions Using an Artificial Intelligence–Assisted System: A Prospective Study

24. THE INDICATION FOR ADDITIONAL SURGERY WITH LYMPH NODE DISECTION AMONG ELDERY PATIENTS WITH T1 COLORECTAL CANCERS TREATED ENDOSCOPICALLY

25. A PROSPECTIVE STUDY OF REAL-TIME COMPUTER-AIDED CHARACTERIZATION OF COLORECTAL LESIONS: DIAGNOSTIC PERFORMANCE AND IMPACT ON HUMAN DIAGNOSIS

26. EFFECTIVENESS OF OBSERVING DEPRESSED-TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY.

27. Whole Slide Images-Based Prediction of Lymph Node Metastasis in T1 Colorectal Cancer Using Unsupervised Artificial Intelligence

28. Current problems and perspectives of pathological risk factors for lymph node metastasis in T1 colorectal cancer: Systematic review

29. ARTIFICIAL INTELLIGENCE-ASSISTED PREDICTION OF LYMPH NODE METASTASIS IN COLORECTAL CANCER USING WHOLE PATHOLOGICAL SLIDE IMAGES

31. Combined endocytoscopy with pit pattern diagnosis in ulcerative colitis-associated neoplasia: Pilot study

32. Current status and future perspective on artificial intelligence for lower endoscopy

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

35. 'VASCULAR HEALING' DIAGNOSED WITH ARTIFICIAL INTELLIGENCE ASSISTED NARROW-BAND IMAGING DURING COLONOSCOPY: A NOVEL TREAT-TO-TARGET IN PATIENTS WITH ULCERATIVE COLITIS

36. Evaluation in real-time use of artificial intelligence during colonoscopy to predict relapse of ulcerative colitis: a prospective study

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

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

39. WHOLE-SLIDE IMAGES USING ARTIFICIAL INTELLIGENCE CAN DECIDE THE NEED FOR SECONDARY SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER

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. Mo1635 CLASSIFICATION OF NUCLEAR MORPHOLOGY OF EC FINDINGS IN COLORECTAL ENDOCYTOSCOPY

42. Sa2059 THE GOBLET APPEARANCE OBSERVED WITH ENDOCYTOSCOPY FOR PREDICTION OF HISTOLOGICAL MUCIN DEPLETION AND CLINICAL RELAPSE IN PATIENTS WITH ULCERATIVE COLITIS.

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

44. A case of gastrointestinal injury associated with nonsteroidal anti-inflammatory drug use

45. Endocytoscopic intramucosal capillary network changes and crypt architecture abnormalities can predict relapse in patients with an ulcerative colitis Mayo endoscopic score of 1

46. EVALUATING THE IMPACT OF COMPUTER-AIDED QUALITY IMPROVEMENT ON COLONOSCOPY.

47. ID: 3525665 DIAGNOSING COLORECTAL LOW-GRADE ADENOMA USING ENDOCYTOSCOPY

48. Morphology as a risk factor for the malignant potential of T2 colorectal cancer

49. Sa2019 DIFFERENTIAL DIAGNOSIS OF COLORECTAL LOW-GRADE ADENOMA USING ENDOCYTOSCOPY: A NOVEL POSSIBILITY FOR THE 'RESECT AND DISCARD' STRATEGY

50. Endocytoscopy for the differential diagnosis of colorectal low-grade adenoma: a novel possibility for the 'resect and discard' strategy

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