鈴木 達也

Medicine & Life Sciences

1. Angiomyolipoma 9%
2. Artificial Intelligence 26%
3. Barium 34%
4. Coronavirus 50%
5. Cystoscopy 48%
6. Data Systems 100%
7. Datasets 15%
8. Decision Making 5%
9. Decision Support Techniques 8%
10. Deep Learning 55%
11. Esophageal Neoplasms 82%
12. Esophagus 6%
13. Gastrinoma 29%
14. Healthy Volunteers 26%
15. Heredity 26%
16. Immunoglobulin G4-Related Disease 28%
17. Insulinoma 25%
18. Kidney 21%
19. Lung Diseases 6%
20. Lymph Nodes 28%
21. Magnetic Resonance Imaging 55%
22. Multiparametric Magnetic Resonance Imaging 61%
23. Multiple Endocrine Neoplasia 27%
24. Muscle Neoplasms 11%
25. Muscles 48%
26. Myocardium 12%
27. Neoplasm Metastasis 24%
28. Neoplasm Micrometastasis 5%
29. Neoplasms 25%
30. Ovarian Epithelial Carcinoma 23%
31. Ovarian Neoplasms 36%
32. Pancreas 34%
33. Pancreatic Diseases 25%
34. Physicians 8%
35. Psychology Recognition 11%
36. Radiography 28%
37. Radiologists 46%
38. Reference Values 7%
39. Retrospective Studies 11%
40. Sensitivity and Specificity 38%
41. Sex Characteristics 9%
42. Technology 8%
43. Thorax 10%
44. Tomography 81%
45. Urinary Bladder 64%
46. Urinary Bladder Neoplasms 76%
47. Urologists 50%
48. Vipoma 32%
49. von Hippel-Lindau Disease 27%