Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …

This paper discusses the development of an IoT-based Congenital Heart Disease prediction
system to automate the process of predicting cardiovascular diseases. This system is based …

In general, cardiac arrest results in an inability to pump enough blood for the body's needs.
Through this, the organs and tissues get enough oxygen and nutrients for their metabolic …

with the assistance of Information Clustering Algorithm, the smart analysis of cellular
damage and cancerous prediction is becoming easier and much more accurate over time …

The proliferation of machine learning and image analysis technologies in healthcare has
made early detection of diseases possible, including the early detection of retinoblastoma, a …

Cardiac monitoring is non-invasive, convenient monitoring to check heart function. As
healthcare has become more preventative and proactive, early diagnosis of heart disease …

Neural networks have been increasingly utilized for smart detection of neuro-pathological
effects of patients with Alzheimer's Disease. By leveraging the vast amounts of data …

This paper presents a novel closed loop control scheme for non-invasive human brain
stimulation (NIBS) prediction in stroke patients. The proposed scheme utilizes an artificial …

Cloud computing has been increasingly adopted by many health organizations in order to
improve the security and performance of their information systems. One of the main …

Since its inception by Google, Federated Learning (FL) has been instrumental in improving
the performance of a wide range of applications. Android's Gboard for predictive text and …