Use of a machine learning model that incorporates information from a single troponin test as well as other clinical data was superior to current practice in the diagnosis of MI in the emergency department.
Using age-specific thresholds for troponin measurement would more accurately diagnose myocardial injury when assessing patients for suspected MI, a new study suggests.
The device, a wrist-worn sensor that uses infrared light to detect the presence and concentration of cardiac troponin-I in the blood through the skin, predicted levels with 90% accuracy within 5 minutes.