The recognition of Mild Cognitive Impairment (MCI) is usually regarded as a prodromal stage of Alzheimer’s disease, which mental disorder may take years to develop and is really hard to diagnose therefore it is a really difficult task for the insurance company when they screen the health status of the potential customer. The existing diagnostic test procedures (MMSE, Clock-Drawing, ADAS-Cog) are not able to accurately recognize the subclinical phase of the MCI. The main problem in the diagnosis of MCI is that the current tests are very time and labor consuming, complicated, furthermore they can be applied only by experts and cannot be used as a screening test. However recent studies reported that MCI causes slight changes in the speech of the patient. The technology called Speech Gap Test is a mobile application developed by the researchers of the University of Szeged, which is able to help its users independent of their language and education to determine the chance of dementia with around 80-90 % accuracy by applying novel automatic speech recognition (ASR) using the latest deep learning technologies. It can inform the insurance company about the risk factor of dementia and also recommend visiting the nearest specialist to the patient in order to get proper diagnosis.
The technology called Speech Gap Test is a mobile application developed by the researchers of the University of Szeged, which is able to help its users independent of their language and education to determine the chance of dementia with around 80-90 % accuracy by applying novel automatic speech recognition (ASR) using the latest deep learning technologies. It can inform the insurance company about the risk factor of dementia and also recommend visiting the nearest specialist to the patient in order to get proper diagnosis.
Benefits
Desired business relationship
Patent licensing
Joint ventures
Technology development
New technology applications
Adaptation of technology to other markets
Current development status
Laboratory prototypes
Currently the test and a mobile application are under development in the programme and the researchers are working on collecting speech samples and the applicability for further languages.
Top of the Hungarian University education; more than 21000 students, with about 4100 students from foreign countries; the highest level of reseach in Hungary; intellectual property portfolio of 41 patent, 8 know-how; numerous parts of the IP prtfolio is licenced or expoited in spin-off enterprises;
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