Background Tremendous opportunities for health research have been unlocked by the
recent expansion of big data and artificial intelligence. However, this is an emergent area …

Objective To assess the current use of big data and artificial intelligence (AI) in the field of
rheumatic and musculoskeletal diseases (RMDs). Methods A systematic literature review …

Health informatics and biomedical computing have introduced the use of computer methods
to analyze clinical information and provide tools to assist clinicians during the diagnosis and …

The major and upward trend in the number of published research related to rheumatic and
musculoskeletal diseases, in which artificial intelligence plays a key role, has exhibited the …

Background Rheumatological and dermatological disorders contribute to a significant
portion of the global burden of disease. Big Data are increasingly having a more and more …

Let's jump into the future, about 10 years from now. Sandy Myers (fictional name) is a 44-
year-old female IT specialist. She is suffering from joint pain, morning stiffness, swollen …

Big data analytics and processing through artificial intelligence (AI) are increasingly being
used in the health sector. This includes both clinical and research settings, and newly in …

Deep learning has emerged as the leading method in machine learning, spawning a rapidly
growing field of academic research and commercial applications across medicine. Deep …

There has been rapid growth in the use of artificial intelligence (AI) analytics in medicine in
recent years, including in rheumatic and musculoskeletal diseases (RMDs). Such methods …

Conclusion Big Data is by its very nature an extremely vast, dynamic and constantly evolving
field, which has the potential to transform medical research but which can also have an …