One commonly used program has the patient watch his virtual image on a screen. For example, tennis balls are virtually thrown at the patient from all directions and the patients' actual hand motions are recorded on screen.
In the first stage of development of this new program, computer scientists Dr. Larry Manevitz of the University of Haifa, together with Dr. Uri Feintuch, a neuroscientist from Hebrew University and a research fellow at the Haifa's Caesarea Rothschild Institute for Interdisciplinary Applications of Computer Science, and Eugene Mednikov, a computer science graduate student, fed video sessions of this virtual reality therapy into their newly developed program. With the new program, the computer "learned" to differentiate between different types of brain injuries: cerebrovascular accident (CVA) and traumatic brain injury (TBI). During further testing, the computer was able to accurately diagnose, between 90%-98% of the time, whether the patient was healthy, or had suffered a traumatic brain injury or a stroke.
Diagnosis, says Dr. Manevitz, is the most basic part of treatment – any doctor and many healthcare workers can correctly diagnose severe brain injuries. While this study is an important advance in the field of computer science, it will not directly help society. What is important, however, is the next phase of development, in which the computer is able to do things that doctors cannot. "As soon as the computer identified the injury, we have a model that we can use for further testing and analysis – something that cannot be done on live patients. Using a computer model, we can experiment with different treatment options and decide which will be the most effective. The computer can also define how much the patient will be able to rehabilitate. These are things that would take a long time for medicine to accomplish, and some of them cannot be done at all," explained Dr. Manevitz.
For example, the computer can simulate how the patient will respond if the virtual reality therapy throws more balls to the patient's left side than to the right or if any other change would be beneficial for rehabilitation. The computer can quickly examine tens of different possibilities in a very short time. Using the computer will help avoid spending time on treatments that will not benefit the patient, or worse, cause harm.
"Our next step is to find similarities in the behavior of people in sub-groups of brain injuries. The human eye may not be able to see such similarities, but a computer would easily be able to pick them up. As soon as we are able to identify similarities in different sub-groups, new avenues of effective treatment will open up for doctors," summarized Dr. Manevitz.
Amir Gilat | EurekAlert!
Cloud technology: Dynamic certificates make cloud service providers more secure
15.01.2018 | Technische Universität München
New discovery could improve brain-like memory and computing
10.01.2018 | University of Minnesota
On the way to an intelligent laboratory, physicists from Innsbruck and Vienna present an artificial agent that autonomously designs quantum experiments. In initial experiments, the system has independently (re)discovered experimental techniques that are nowadays standard in modern quantum optical laboratories. This shows how machines could play a more creative role in research in the future.
We carry smartphones in our pockets, the streets are dotted with semi-autonomous cars, but in the research laboratory experiments are still being designed by...
What enables electrons to be transferred swiftly, for example during photosynthesis? An interdisciplinary team of researchers has worked out the details of how...
For the first time, scientists have precisely measured the effective electrical charge of a single molecule in solution. This fundamental insight of an SNSF Professor could also pave the way for future medical diagnostics.
Electrical charge is one of the key properties that allows molecules to interact. Life itself depends on this phenomenon: many biological processes involve...
At the JEC World Composite Show in Paris in March 2018, the Fraunhofer Institute for Laser Technology ILT will be focusing on the latest trends and innovations in laser machining of composites. Among other things, researchers at the booth shared with the Aachen Center for Integrative Lightweight Production (AZL) will demonstrate how lasers can be used for joining, structuring, cutting and drilling composite materials.
No other industry has attracted as much public attention to composite materials as the automotive industry, which along with the aerospace industry is a driver...
Scientists at Tokyo Institute of Technology (Tokyo Tech) and Tohoku University have developed high-quality GFO epitaxial films and systematically investigated their ferroelectric and ferromagnetic properties. They also demonstrated the room-temperature magnetocapacitance effects of these GFO thin films.
Multiferroic materials show magnetically driven ferroelectricity. They are attracting increasing attention because of their fascinating properties such as...
08.01.2018 | Event News
11.12.2017 | Event News
08.12.2017 | Event News
19.01.2018 | Physics and Astronomy
19.01.2018 | Materials Sciences
19.01.2018 | Life Sciences