Neurofit Announces Brain Disease Diagnosis and Prognosis Analysis Technology Using Medical Imaging
[Asia Economy Reporter Hyunseok Yoo] Neurofit, a specialized company in artificial intelligence (AI) solutions for brain diseases, announced on the 20th that it will present research results on AI-based brain disease diagnosis and prognosis prediction at the 'Neuro Convention 2021 (NEC 2021)'.
The presentation, held online on the 21st, will be conducted under the theme "Journey of AI-Powered Medical Solution for Brain Disease Diagnosis & Prognosis." The presenters include Donghyun Kim, Chief Technology Officer (CTO) of Neurofit, Eunyeong Kim, Senior Researcher at Neurofit, and Seongmin Wang, Professor at Yeouido St. Mary's Hospital, Catholic University.
Through this presentation, Neurofit plans to introduce its products responsible for the "diagnosis, analysis, design, and treatment" of brain diseases, as well as the latest trends in dementia analysis and prognosis prediction technology using medical imaging.
The brain imaging analysis software 'NEUROPHET AQUA,' to be showcased at NEC 2021, is a brain disease analysis solution that analyzes patients' brain MRIs to objectively report the degree of brain atrophy and white matter degeneration. By utilizing 'NEUROPHET AQUA,' accurate and detailed analysis of MRI T1-weighted images and Flair images, which are primarily used for dementia diagnosis, is possible. The presentation will reveal clinical cases using 'NEUROPHET AQUA' to demonstrate the usefulness and effectiveness of image-based dementia analysis technology in the dementia diagnosis process.
Additionally, a cloud-based brain imaging analysis software, 'NEUROPHET SegPlus,' which can accelerate brain imaging-related research, will also be introduced.
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Donghyun Kim, CTO of Neurofit, stated, "We will introduce brain imaging-based dementia diagnosis and analysis technology, which is at the starting point of Neurofit's full-cycle process of 'diagnosis, analysis, design, and treatment' that we have aimed for so far." He added, "Through diagnostic processes using imaging information and validity cases, we will explain the importance of brain imaging analysis in dementia diagnosis and prognosis analysis."
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