Some applications of intelligent systems in medicine

Abstract

In this paper some applications of intelligent systems are presented. In spite of all knowledge-based technologies, which have been proposed recently, the main driving power of "intelligent" approaches is still (and even increasingly) huge computational power of modern information technology, that is used to process vast amounts of data. Two main technologies of intelligent systems in medicine, both based on data processing and search, are thus optimization and machine learning. They are used for different kinds of medical problems: data mining, diagnosing, medical imaging and signal processing, planning and scheduling, etc. In the paper we summarize some of the most evident applications of this kind.

Data-Driven Approaches for Computation in Intelligent Biomedical Devices: A Case Study of EEG Monitoring for Chronic Seizure Detection

“…These have particularly advanced thanks to applied work related to physiological data analysis [19]. More specifically for chronic biomedical devices, the data-modeling and classification methods (i.e., methods for applying the models) have seen substantial development [20]. The efficiency with which machine-learning techniques allow the development of quantitative models from large datasets, means that patient-specific models can be readily developed as patient-specific data becomes available, and thus a high degree of specificity can be achieved.…”