AI Assisted Epilepsy Diagnoses
This breakthrough project focuses on the development of a deep learning (Artificial Intelligence) based virtual assistant for the interpretation of clinical EEG recordings.
The goal is to automate the current visual assessment that’s usually performed by a the clinical expert, and in doing so reducing the burden of labor for the clinician and improving the quality of their interpretations consistently.
For this project MEDrecord is providing the complete platform and AIT and CSS the Deep Learning algorithms that is tested and approved by Professor Michel van Putten (TU-Twente).
EEG activity source
Reliable seizure detection
The highest sensitivity
at lowest false alarm rates
available on the market
AI based “virtual assistant”
for reviewing clinical EEG recordings
The Deep Brain Resonator in Action:
This project is funded for € 2 million by Eurostars and will last for 2 years.
Eurostars supports international innovative projects that are led by Research & Development and high performing small-and-medium sized enterprises (R&D and Performing SMEs.) With its bottom-up approach, Eurostars supports the development of rapidly marketable innovative products, processes and services that help improve the daily lives of people around the world.
Eurostars has been carefully developed to meet the specific needs of SMEs. It is an ideal first step in international cooperation, enabling small businesses to combine and share expertise and benefit from working beyond national borders.
Eurostars is a joint programme between EUREKA and the European Commission, co-funded from the national budgets of 36 Eurostars Participating States and Partner Countries and by the European Union through Horizon 2020.
The role of SMEs for the economy has never been so important. Eurostars aims to bring increased value to the economy, higher growth and more job opportunities; and MedRecord is proud to have partnered on this project alongside several great organizations.
SYMPHONY will create an open healthcare IT-ecosystem, providing care professionals with real-time, comprehensive insights in the patient’s status, integrating all relevant information for diagnosis, treatment selection as well as follow-up.
The DAIsy project will create an AI for the mental healthcare ecosystem by combining expertise on patient monitoring technology, data collection and aggregation technology, domain expertise from care professionals and AI experts.
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