From: The coming era of a new auscultation system for analyzing respiratory sounds
Topic of study | Results | References |
---|---|---|
The accuracy of lung auscultation | <Correct detection rate by sounds> | [42] |
 – Pulmonologists: 28% (abnormal bronchial sound), 90% (wheezes) |  | |
 – Pediatricians: 16% (abnormal bronchial sound), 83% (wheezes) |  | |
 – Interns: 13% (abnormal bronchial sound), 83% (wheezes) |  | |
Physicians’ classification of lung sounds from video recordings | <Multirater agreement (Fleiss’ κ) between observers> | [43] |
 – Detailed categories: 0.04 (rhonchi), 0.43 (high-pitched wheezes) |  | |
 – Combined categories: 0.59 (wheezes), 0.62 (crackles) |  | |
Pulmonary auscultatory skills during training in internal medicine and family practice | <Identification rates by sounds> | [44] |
 – Trainees of family practice: 0% (whispered pectoriloquy), 84% (expiratory wheeze) |  | |
 – Trainees of internal medicine: 1% (whispered pectoriloquy), 82% (expiratory wheeze) |  | |
 – Pulmonary fellows: 5% (whispered pectoriloquy), 100% (expiratory wheeze) |  | |
Comparing the auscultatory accuracy of health care professionals | <Correct detection rates by sounds> | [45] |
 – Staff of internal medicine: 86.7% (wheezes), 96.7% (crackles) |  | |
 – Resident of internal medicine: 59.0% (crackles), 80.0% (wheezes) |  | |
 – Adult ICU nurses: 47.0% (crackles), 88.0% (wheezes) |  | |
The contribution of spectrogram for visualization sound in clinical practice | <Proper diagnosis rate of medical students> | [46] |
 Normal sounds: 57% (sound) → 63% (plus spectrogram) |  | |
 Wheezes: 70% (sound) → 83% (plus spectrogram) |  | |
 Crackles: 53% (sound) → 70% (plus spectrogram) |  | |
 Stridor: 70% (sound) → 73% (plus spectrogram) |  |