Artificial Intelligence in Healthcare: Review and Prediction Case Studies
By Guoguang Rong, Arnaldo Mendez, Elie Bou Assi, Bo Zhao, Mohamad Sawan. Engineering, 2020
403 citations recorded by the source corpus.
Abstract Artificial intelligence (AI) has been developing rapidly in recent years in terms of software algorithms, hardware implementation, and applications in a vast number of areas. In this review, we summarize the latest developments of applications of AI in biomedicine, including disease diagnostics, living assistance, biomedical information processing, and biomedical research. The aim of this review is to keep track of new scientific accomplishments, to understand the availability of technologies, to appreciate the tremendous potential of AI in biomedicine, and to provide researchers in related fields with inspiration. It can be asserted that, just like AI itself, the application of AI in biomedicine is still in its early stage. New progress and breakthroughs will continue to push the frontier and widen the scope of AI application, and fast developments are envisioned in the near future. Two case studies are provided to illustrate the prediction of epileptic seizure occurrences and the filling of a dysfunctional urinary bladder.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Neurology
View Paper: https://www.semanticscholar.org/paper/4654cb7d993914a7e055c36a761e566853a9832c
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Citations in the corpus
- The Recent Progress and Applications of Digital Technologies in Healthcare: A Review (2020, background): “One of the promising and rapidly growing modern trends is the use of the capabilities of AI and Machine Learning (ML) in healthcare, including the diagnosis and treatment of a number of diseases [9, 10].”