Title

Human-machine interfaces for medical imaging and clinical interventions

Document Type

Article

Publication Date

1-1-2019

Journal

Handbook of Medical Image Computing and Computer Assisted Intervention

First Page

817

Last Page

839

URL with Digital Object Identifier

10.1016/B978-0-12-816176-0.00038-7

Abstract

© 2020 Elsevier Inc. All rights reserved. Until the day when medical diagnostics and clinical interventions are fully automated, all Medical Image Computing and Computer-Assisted Interventions will have, at their core, the system architecture of a “Human-Machine Interface” (HMI). An “interface” in abstract terms is a boundary between two systems (for an HMI, the two systems are the human and the machine while in an HCI, the two systems are the human and the computer - for this chapter, HCI/HMI will be used interchangeably). More critically, the study of any interface involves characterizing “what” flows between the two. Until the day when medical diagnostics and clinical interventions are fully automated, all Medical Image Computing and Computer-Assisted Interventions will have, at their core, the system architecture of a “Human-Machine Interface” (HMI). An “interface” in abstract terms is a boundary between two systems (for an HMI, the two systems are the human and the machine~ while in an HCI, the two systems are the human and the computer - for this chapter, HCI/HMI will be used interchangeably). More critically, the study of any interface involves characterizing “what” flows between the two. Since the applications for Medical and Interventional interfaces span a vast domain, we will begin by highlighting a few representative examples, before moving forward to identify a number of unifying characteristics. We will then identify the key “Design Principles” that emerge when considering such interfaces, before concluding with a unifying framework for the objective evaluation of such interfaces, along with future directions for research in this area.

Notes

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