Speech-based Medical Decision Support in VR using a Deep Neural Network (Demonstration)
Keyword(s):
We present a speech dialogue system that facilitates medical decision support for doctors in a virtual reality (VR) application. The therapy prediction is based on a recurrent neural network model that incorporates the examination history of patients. A central supervised patient database provides input to our predictive model and allows us, first, to add new examination reports by a pen-based mobile application on-the-fly, and second, to get therapy prediction results in real-time. This demo includes a visualisation of patient records, radiology image data, and the therapy prediction results in VR.
Keyword(s):
Keyword(s):
2005 ◽
Vol 9
(3)
◽
pp. 468-474
◽
1995 ◽
Vol 34
(04)
◽
pp. 369-370
◽
2015 ◽
Vol 99
(2)
◽
pp. 161-164
◽