The emergence of tele-exercise as a response to the impact of technology on physical
activity has opened up new possibilities for promoting physical health. By integrating …

Osteoporosis is a common, but silent disease until it is complicated by fractures that are
associated with morbidity and mortality. Over the past few years, although deep learning …

A major responsibility of radiologists in routine clinical practice is to read follow-up chest
radiographs (CXRs) to identify changes in a patient's condition. Diagnosing meaningful …

Due to huge investments by both the public and private sectors, artificial intelligence (AI) has
made tremendous progress in solving multiple real-world problems such as disease …

Despite the unprecedented success of deep learning in various fields, it has been
recognized that clinical diagnosis requires extra caution when applying recent deep …

Malaria has become a widespread disease and one of the leading causes of many deaths
worldwide. Malaria is a blood disease brought on by Plasmodium parasites, which are …

This bibliometric study analyzes the evolution of research in artificial intelligence (AI) applied
to medicine from 2015 to September 2023. Using the Scopus database and keywords …

The specific genetic subtypes that gliomas exhibit result in variable clinical courses and the
need to involve multidisciplinary teams of neurologists, epileptologists, neurooncologists …

Recently, deep learning algorithms, especially convolutional neural network (CNN)
architectures, have been widely recognized as an outperforming and reliable approach to …