Harnessing the power of () provides enticing opportunities that could transform the medical field.
is undergoing a moment of zeitgeist. From the hosts of Westworld to Turing-tested humanoid Ava from Ex Machina , the paranoid references to its possibilities and horrors are exploited in cinema. Siri, Cortana, and self-driving cars are perhaps popular, practical examples of the technology in use.
In September, U of T Professor Emeritus Geoffrey Hinton and President Emeritus David Naylor both published articles in the Journal of the American Medical Association on and its potential to transform medicine.
Hinton, who is also a vice-president and engineering fellow at Google, distilled intricate aspects of in his article, while Naylor explored prospects for machine in health care in his.
At U of T, Canada Research Chair in Robots for Society and Associate Professor Goldie Nejat and her team develop socially assistive robots to aid seniors, and Professor Shahrokh Valaee uses and artificial X-rays to pinpoint diseases.
“I believe in in the long run,” said Dr. Franz Rudzicz. “I believe there is a future out there where you’ll have something like Echo in your house and Echo itself could diagnose you.”
Rudzicz is an Associate Scientist at the International Centre for Surgical Safety of the Li Ka Shing Knowledge Institute at St Michael’s Hospital and also a faculty member at the Vector Institute for .
He is among a number of researchers working to use to transform the practice of medicine.At the and Oral Communication lab (SPOClab), Rudzicz’s team of researchers investigate machine and for use in health care practices.Their aim is to use data to produce software that helps individuals with disabilities communicate.
“We’re interested in the whole mechanism of and language processing. From the acoustics in , to how it is physically produced by the articulators, to how it’s produced in the brain,” said Rudzicz.
In the short term, Rudzicz sees the recognition technology as being a Google search for physicians, providing them with relevant medical information on their patient’s history.
It could help reduce the clerical burden for physicians by providing a transcription of communication with patients and integrating that with their electronic medical record.[…]