Artificial intelligence and machine learning (AI/ML) models have been adopted in a wide
range of healthcare applications, from medical image computing and analysis to continuous …

The integration of machine learning (ML) in healthcare has witnessed remarkable
advancements, transforming the landscape of medical diagnosis, treatment, and overall …

Artificial intelligence (AI) is revolutionizing the healthcare industry by transforming the way
diseases are diagnosed, treated, and managed. With the exponential growth of healthcare …

Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly
driven by the emergence of increasingly accurate machine learning models. However, the …

Traditional healthcare systems have grappled with meeting the diverse needs of millions of
patients, resulting in inefficiencies and suboptimal outcomes. However, the emergence of …

Advances in computational and data sciences for data management, integration, mining,
classification, filtering, visualization along with engineering innovations in medical devices …

Today, the US healthcare industry alone can save $300 B per year by using machine
intelligence to analyze a rich set of existing medical data; results from these analyses can …

Artificial intelligence (AI) is gradually changing medical practice. With recent progress in
digitized data acquisition, machine learning and computing infrastructure, AI applications …

Abstract Machine Learning (ML) studies algorithms which can learn from data to gain
knowledge from experience and to make decisions and predictions. Health Informatics (HI) …

Substantial interest and investment in clinical artificial intelligence (AI) research has not
resulted in widespread translation to deployed AI solutions. Current attention has focused on …