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Proceedings Paper

Decision support systems for robotic surgery and acute care
Author(s): Peter Kazanzides
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Paper Abstract

Doctors must frequently make decisions during medical treatment, whether in an acute care facility, such as an Intensive Care Unit (ICU), or in an operating room. These decisions rely on a various information sources, such as the patient's medical history, preoperative images, and general medical knowledge. Decision support systems can assist by facilitating access to this information when and where it is needed. This paper presents some research eorts that address the integration of information with clinical practice. The example systems include a clinical decision support system (CDSS) for pediatric traumatic brain injury, an augmented reality head- mounted display for neurosurgery, and an augmented reality telerobotic system for minimally-invasive surgery. While these are dierent systems and applications, they share the common theme of providing information to support clinical decisions and actions, whether the actions are performed with the surgeon's own hands or with robotic assistance.

Paper Details

Date Published: 5 May 2012
PDF: 4 pages
Proc. SPIE 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, 83710W (5 May 2012); doi: 10.1117/12.948910
Show Author Affiliations
Peter Kazanzides, Johns Hopkins Univ. (United States)


Published in SPIE Proceedings Vol. 8371:
Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX
Sárka O. Southern; Arend H. J. Kolk; Kevin N. Montgomery; Carl W. Taylor; B. V. K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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