Artificial neural networks in medical diagnosis
Masaryk University · Universidad de La Laguna · +2 more institutions
Abstract
An extensive amount of information is currently available to clinical specialists, ranging from details of clinical symptoms to various types of biochemical data and outputs of imaging devices. Each type of data provides information that must be evaluated and assigned to a particular pathology during the diagnostic process. To streamline the diagnostic process in daily routine and avoid misdiagnosis, artificial intelligence methods (especially computer aided diagnosis and artificial neural networks) can be employed. These adaptive learning algorithms can handle diverse types of medical data and integrate them into categorized outputs. In this paper, we briefly review and discuss the philosophy, capabilities,…
Citation impact
- FWCI
- 86.47
- Percentile
- 100%
- References
- 62
Authors
6Topics & keywords
- Artificial neural network
- Artificial intelligence
- Computer science
- Process (computing)
- Machine learning
- Clinical diagnosis
- Medicine
- Intensive care medicine