How can artificial intelligence predict syncope?

‘Vasovagal’ Syncope is a transient and rapid onset of loss of consciousness with complete recoveryand is one of the most common health problems in human beings. It is due to transientcerebral hypoperfusion and is precipitated by emotional distress, orthostatic stress, fear, severepain or prolonged standing. It can be triggered by hot environment, humid atmosphere, prolongedstanding, and reduced water intake. prodromal symptoms such as sweating, pallor and nausea areusually associated with syncope. There is no known pharmacological treatment yet and pacing islimited to very rare cases. The main goal of treatment is to control trauma and prevent the recurrence.Therefore it is crucial to diagnose presyncope, prevent the predisposing factors and halttraumatic events.Predicting the syncope and trying to know the onset of faint could prevent dangerous falls and isof great importance psychologically for the patient. Gathering data for a large number of patientsby artificial intelligence considering the risk factors such as hot environment, humid atmosphere,prolonged standing, and reduced water intake, menstrual cycles and stresses along with measuringheart rate and blood pressure, sweating, pallor, nausea and indicating syncope in differentsituations can diagnose presyncopal events. We have designed a smart watch that can record thesedata continuously in each patient throughout the day and save the information in a computer. Incase of syncope the artificial intelligence could analyze all data from about ۱۰۰۰ patients andpredict the event of syncope in each patient. If this study reaches trustworthy results, an electricshock can be applied in presyncopal events to increase the heart rate and prevent the syncope.

کلیدواژه ها:

artificial intelligence ، medicine ، faint ، syncope ، vasovagal