DICOM-based multidisciplinary platform for clinical decision support: Needs and direction

Wing Chi Chan, Phoebe Suk Tak Chan, Yongping Zheng, Alex Ka Shing Wong, Ying Liu, Iris Frances Forster Benzie

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

3 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationAdvances of Computational Intelligence in Industrial Systems
Pages191-212
Number of pages22
DOIs
Publication statusPublished - 11 Jun 2008

Publication series

NameStudies in Computational Intelligence
Volume116
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

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