Medicine & Life Sciences

1. Hypertrophic Cardiomyopathy 100%
2. Stress Echocardiography 80%
3. Artificial Intelligence 74%
4. Natural Language Processing 67%
5. Peripheral Arterial Disease 60%
6. Echocardiography 45%
7. Myocardial Infarction 35%
8. Exercise 33%
9. Machine Learning 32%
10. Electronic Health Records 26%
11. Coronary Artery Disease 25%
12. Electrocardiography 24%
13. Myocardial Perfusion Imaging 23%
14. Mammary Arteries 23%
15. Atropine 21%
16. Amyloidosis, Hereditary, Transthyretin-Related 20%
17. Sudden Cardiac Death 20%
18. Blood Pressure 18%
19. Heart Failure 18%
20. Ankle Brachial Index 17%
21. Cardiovascular Diseases 15%
22. Coronary Vessels 15%
23. Diabetes Mellitus 15%
24. Erectile Dysfunction 14%
25. Extremities 14%
26. Survival 13%
27. Myocardial Ischemia 12%
28. Coronary Artery Bypass 11%
29. Deep Learning 11%
30. Mortality 10%
31. Familial Amyloidosis 10%
32. Big Data 10%
33. Confidence Intervals 10%
34. Genetic Epistasis 10%
35. Comorbidity 10%
36. Heart 10%
37. Cardiology 10%
38. Heart Diseases 10%
39. Stroke Volume 10%
40. Neutrophils 10%
41. Transplants 10%
42. Clinical Decision Support Systems 9%
43. Ischemia 9%
44. Datasets 9%
45. Anomalous Left Coronary Artery 9%
46. Ventricular Pressure 9%
47. Tricuspid Valve Insufficiency 8%