首页|Sun Yat-sen University Reports Findings in Artificial Intelligence (Artificial i ntelligence enables precision diagnosis of cervical cytology grades and cervical cancer)
Sun Yat-sen University Reports Findings in Artificial Intelligence (Artificial i ntelligence enables precision diagnosis of cervical cytology grades and cervical cancer)
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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 zhou, People’s Republic of China, by NewsRx correspondents, research stated, “Ce rvical cancer is a significant global health issue, its prevalence and prognosis highlighting the importance of early screening for effective prevention. This r esearch aimed to create and validate an artificial intelligence cervical cancer screening (AICCS) system for grading cervical cytology.” Our news editors obtained a quote from the research from Sun Yat-sen University, “The AICCS system was trained and validated using various datasets, including r etrospective, prospective, and randomized observational trial data, involving a total of 16,056 participants. It utilized two artificial intelligence (AI) model s: one for detecting cells at the patch-level and another for classifying whole- slide image (WSIs). The AICCS consistently showed high accuracy in predicting cy tology grades across different datasets. In the prospective assessment, it achie ved an area under curve (AUC) of 0.947, a sensitivity of 0.946, a specificity of 0.890, and an accuracy of 0.892. Remarkably, the randomized observational trial revealed that the AICCS-assisted cytopathologists had a significantly higher AU C, specificity, and accuracy than cytopathologists alone, with a notable 13.3% enhancement in sensitivity.”
GuangzhouPeople’s Republic of ChinaA siaArtificial IntelligenceCancerCervical CancerCytologyDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineMachine LearningOncolo gyWomen’s Health
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