Why the study?
Most heart attacks cause death before patients seek care, and conventional passive strategies rely on patients initiating contact, which fails if they cannot call for help during critical symptoms.
Answers are grounded in this paper and cite their sources.
Integrating AI and IoT in heart monitoring offers the potential to shift cardiovascular care from a passive to a proactive model, potentially preventing adverse outcomes before patients seek help.
Smart sensors integrated with artificial intelligence (AI) have brought pragmatic solutions to many networking sectors, enterprises, and as well as government organizations around the world. This review highlights linking Internet of Things (IoT) technology coupled with artificial intelligence with heart monitoring to make it more personalized and timelier by allowing devices to communicate with one another. Most heart attacks result in the death of a patient much prior patient seeking treatment. The conventional and established treatment strategy is passive, in which patients initiate contact with healthcare providers. As a result, if the patient is not in a state to contact healthcare professionals while facing critical symptoms of cardiovascular disorders, they are unlikely to call for help. The potential prospective of AI in learning information contained in human heart rate monitoring for boosting an individual's performance is briefly outlined in this research.
No takes yet. Share an insight, caveat, or question.
A 2022 study studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: