Multi-disciplinary platform is created to store and integrate DICOM objects from various clinical disciplines. With artificial intelligence, clinical decision support system is built to assess risk of disease complications using the features extracted from the DICOM objects and their interrelationship. Diabetes Mellitus is considered as the disease of interest and the risks of its complications are assessed based on the extracted features. The synergy of the DICOM-based multi-disciplinary platform and the clinical decision support system provides promising functions for extracting and interrelating consistent features of clinical information.
|Title of host publication||Advances of Computational Intelligence in Industrial Systems|
|Number of pages||22|
|Publication status||Published - 11 Jun 2008|
|Name||Studies in Computational Intelligence|