AI and ML Digital Transformation on Cardio Applications in Healthcare for Outpatients’ Safety
Sravanthi Mallireddy
Abstract
The fields of machine learning (ML) and artificial intelligence (AI) are transforming outpatient cardiovascular care, enhancing patient safety, and expediting the provision of healthcare. Through the analysis of massive datasets, these technologies assist healthcare providers in making more informed decisions regarding diagnosis and treatment. For example, AI systems are able to predict the likelihood of cardiovascular events by analyzing patient data, including vital signs and medical history. Additionally, the accuracy of diagnosing conditions like cardiac rhythm irregularities and coronary artery disease is improved by the application of machine learning in image analysis. Wearables with AI capabilities can keep an eye on patients in real time and alert medical professionals to potential issues before they worsen. This AI and ML have the potential to greatly enhance healthcare, a number of problems still need to be handled, including data protection, legal compliance, and the requirement for seamless integration into existing systems.