this intelligent cloud platform is expected to significantly improve the efficiency of clinical diagnosis and treatment of epilepsy
2024-09-08
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hunan daily, september 7 (all-media reporter zhou yangle, correspondent peng furong) on september 6, at the first "medical and engineering integration, jianshan forum - hunan province smart health and brain-computer intelligence innovation and development forum", an intelligent cloud platform for the entire process of epilepsy diagnosis and treatment independently developed by peking university changsha institute of computing and digital economy, led by academician chen songqi, made its debut. the platform is expected to significantly improve the efficiency of clinical diagnosis and treatment of epilepsy.
"it only takes 3 to 5 minutes to submit the analysis results of one hour of data, which can help doctors identify epilepsy subtypes and the degree of pathogenicity." tong peifeng, the core developer of the algorithm and a doctoral student at peking university, introduced that the platform uses epilepsy research as the entry point for the implementation of non-invasive brain-computer interface technology. it integrates two major modules: neuroelectrophysiology and neuroimaging. it uses ai technology to intelligently analyze clinical data, mine the rich information contained in massive data, and combine advanced statistical analysis methods to provide a full-process ai diagnosis and treatment plan for epilepsy.
hunan province smart health and brain-computer intelligence innovation and development forum
tong peifeng said that in the future the platform will be committed to improving the diagnostic efficiency of in-hospital eeg examinations, strive to promote first-class diagnosis and treatment capabilities for epilepsy to primary medical institutions, improve the current situation of unbalanced and insufficient distribution of high-quality medical resources, and help more patients with epilepsy receive timely diagnosis and treatment.
academician chen songqi pointed out that in the construction of digital china, data analysis is the key to tapping the productivity contained in data. aiming at clinical problems in brain science, analyzing and extracting the rich information contained in brain data, completing the digital twin of the brain, and using data to assist clinical decision-making have good prospects for improving the efficiency of clinical diagnosis of brain diseases, expanding the coverage of high-quality medical resources, and benefiting a wider range of patients.
chen songqi, academician of the chinese academy of sciences
it is reported that the peking university changsha institute of computing and digital economy targets the urgent needs of clinical frontline, promotes the transformation of scientific and technological innovation results based on the integration of medicine and engineering, and actively carries out the research and development of a number of cutting-edge technology products such as "hemodynamic simulation software for cardiovascular and cerebrovascular diseases", "intelligent diagnosis and treatment assistant for gastrointestinal tumors", and "multimodal assessment for mental health issues", to help cultivate and develop new quality productivity in the intersection of medicine and engineering.
