Using ontologies linked with geometric models to reason about penetrating injuries

• Published in: Artificial intelligence in medicine Vol. 37; no. 3; pp. 167 - 176
• Main Authors: Rubin, Daniel L., Dameron, Olivier, Bashir, Yasser, Grossman, David, Dev, Parvati, Musen, Mark A.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.07.2006
• Subjects: Anatomy ontologies; Computer applications; Computer reasoning; Diagnosis, Computer-Assisted; Geometric heart models; Humans; Medical imaging; Medicine; Models, Biological; Neural Networks (Computer); Tomography, X-Ray Computed; Wounds, Penetrating - diagnosis; Wounds, Penetrating - diagnostic imaging; Computer reasoning; Anatomy ontologies; Geometric heart models

Medical assessment of penetrating injuries is a difficult and knowledge-intensive task, and rapid determination of the extent of internal injuries is vital for triage and for determining the appropriate treatment. Physical examination and computed tomographic (CT) imaging data must be combined with...