Rare Diseases | Video | How technology can support the more rapid diagnosis of rare diseases | Publication in Journal of the Peripheral Nervous System
The diagnostic delay for rare disease patients can go up to more than 5 years. But were you aware that technology could play a significant role in speeding up the diagnosis time of rare diseases?
Listen to Dries Hens M.D., Chief Medical Officer, in the video above and learn about a recent study performed by LynxCare and a Belgian hospital, in which a novel state-of-the-art NLP procedure was applied to automatically extract red flag symptoms from patients' EHRs and select patients at risk for ATTRv polyneuropathy, a rare disease, for further genetic testing.
The study was published in the Journal of the Peripheral Nervous System and can be accessed by clicking the button above.
Hens D., Wyers L., Claeys K.G., Validation of an Artificial Intelligence driven framework to automatically detect red flag symptoms in screening for rare diseases in electronic health records: hereditary transthyretin amyloidosis polyneuropathy as a key example, Journal of the Peripheral Nervous System, First published: 5 December 2022, https://doi.org/10.1111/jns.12523
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Listen to Dries Hens M.D., Chief Medical Officer, in the video above and learn about a recent study performed by LynxCare and a Belgian hospital, in which a novel state-of-the-art NLP procedure was applied to automatically extract red flag symptoms from patients' EHRs and select patients at risk for ATTRv polyneuropathy, a rare disease, for further genetic testing.
The study was published in the Journal of the Peripheral Nervous System and can be accessed by clicking the button above.
Hens D., Wyers L., Claeys K.G., Validation of an Artificial Intelligence driven framework to automatically detect red flag symptoms in screening for rare diseases in electronic health records: hereditary transthyretin amyloidosis polyneuropathy as a key example, Journal of the Peripheral Nervous System, First published: 5 December 2022, https://doi.org/10.1111/jns.12523
Want to discover more of our use cases?
Click here or contact us!
