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Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
The data are transmitted to healthcare providers or third parties via wireless telecommunication devices. The data are evaluated for potential problems by a healthcare professional or via a clinical decision support algorithm, and patient, caregivers, and health providers are immediately alerted if a problem is detected. [4]
Remote data capture is the process of automatic collection of scientific data. It is widely used in clinic trials, [1] where it is referred to as electronic data capture.In physical sciences, automatic observation hardware in the field can be linked to an observer in a laboratory through a cellphone or other communication link, [2] for example in hydrology.
Cardiac monitoring generally refers to continuous or intermittent monitoring of heart activity to assess a patient's condition relative to their cardiac rhythm. Cardiac monitoring is usually carried out using electrocardiography , which is a noninvasive process that records the heart's electrical activity and displays it in an electrocardiogram ...
Cardiac electrophysiology is a branch of cardiology and basic science focusing on the electrical activities of the heart. The term is usually used in clinical context, to describe studies of such phenomena by invasive (intracardiac) catheter recording of spontaneous activity as well as of cardiac responses to programmed electrical stimulation ...
An arrhythmia is defined as any disturbance in the cardiac activation sequence or any deviation from accepted limits for the rate or regularity of the normal impulse. The main types of arrhythmias leading to sudden cardiac death are tachyarrhythmias and bradyarrhythmia.