The present research looks into the automation of clinical analytic procedures in healthcare
systems using support vector machines (SVMs), convolutional neural networks (CNNs) and …

Introduction Automated Machine Learning or AutoML is a set of approaches and processes
to make machine learning accessible for non-experts. AutoML can exhibit optimized …

This paper explores the transformative role of artificial intelligence (AI) in healthcare,
focusing on its contributions to streamlining workflows and enhancing decision-making …

Healthcare is considered as one of the most promising application areas for artificial
intelligence and analytics (AIA) just after the emergence of the latter. AI combined to …

Healthcare informatics, a field that integrates information technology, computer science, and
healthcare, is crucial for managing and analyzing data, contributing to academic research …

Healthcare pioneers are commonly aware of big data to feature trends, patterns of health, as
well as potential outcomes for a group of individuals or large population, however for …

Progress in computational sciences for cleaning, sorting, combining, digging, visualizing
and managing data along with technological advancements in medical devices have urged …

The main focus of Artificial Intelligence is to improvise the human cognitive capabilities. It
brings about tremendous change in health-care, and the date that is being incessantly …

Abstract In our society, Artificial Intelligence technology is providing revolutionary
outstanding transformations across the healthcare field. Machines can accomplish cognitive …

The proliferation of artificial intelligence and its continued development can be attributed to
the pursuit of advanced machine learning techniques for handling big health data. Even …