Abstract Machine learning (ML) is a burgeoning field of medicine with huge resources being
applied to fuse computer science and statistics to medical problems. Proponents of ML extol …

The field of artificial intelligence (AI) has evolved considerably in the last 60 years. While
there are now many AI applications that have been deployed in high-income country …

This paper reviews applications of machine learning (ML) predictive models in the diagnosis
of chronic diseases. Chronic diseases (CDs) are responsible for a major portion of global …

An artificially intelligent computer program can now diagnose skin cancer more accurately
than a board-certified dermatologist. 1 Better yet, the program can do it faster and more …

Dentistry increasingly integrates artificial intelligence (AI) to help improve the current state of
clinical dental practice. However, this revolutionary technological field raises various …

Natural language processing (NLP) techniques can be used to make inferences about
peoples' mental states from what they write on Facebook, Twitter and other social media …

In this work, a unified AI-framework named Hierarchical Deep Learning Neural Network
(HiDeNN) is proposed to solve challenging computational science and engineering …

Big data analytics are gaining popularity in medical engineering and healthcare use cases.
Stakeholders are finding big data analytics reduce medical costs and personalise medical …

Introduction Artificial intelligence (AI) is a field of mathematical engineering which has
potential to enhance healthcare through new care delivery strategies, informed decision …

Collaborative learning (CL) can be a powerful method for sharing understanding between
learners. To this end, strategic regulation of processes, such as cognition and affect …