首页|Data on Artificial Intelligence Reported by Qianlan Chen and Colleagues (Applica tion of Patient-Based Real-Time Quality Control Based on Artificial Intelligence Monitoring Platform in Continuously Quality Risk Monitoring of Down Syndrome Se rum ...)
Data on Artificial Intelligence Reported by Qianlan Chen and Colleagues (Applica tion of Patient-Based Real-Time Quality Control Based on Artificial Intelligence Monitoring Platform in Continuously Quality Risk Monitoring of Down Syndrome Se rum ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Guang dong, People’s Republic of China, by NewsRx correspondents, research stated, “Pa tient-based real-time quality control (PBRTQC) has gained attention because of i ts potential to continuously monitor the analytical quality in situations wherei n internal quality control (IQC) is less effective. Therefore, we tried to inves tigate the application of PBRTQC method based on an artificial intelligence moni toring (AI-MA) platform in quality risk monitoring of Down syndrome (DS) serum s creening.”
GuangdongPeople’s Republic of ChinaAsiaArtificial IntelligenceChromosome DisordersCongenital AbnormalitiesDo wn SyndromeEmerging TechnologiesGenetic Diseases and ConditionsHealth and MedicineMachine LearningMental RetardationNervous System Diseases and Cond itionsNeurobehavioral ManifestationsNeurologic Manifestations
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