首页|Yichang Central People’s Hospital Reports Findings in Artificial Intelligence [Integrating artificial intelligence (S-Detect software) and contrast-enhanced ul trasound for enhanced diagnosis of thyroid nodules: A comprehensive evaluation s tudy]
Yichang Central People’s Hospital Reports Findings in Artificial Intelligence [Integrating artificial intelligence (S-Detect software) and contrast-enhanced ul trasound for enhanced diagnosis of thyroid nodules: A comprehensive evaluation s tudy]
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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 Hubei , People’s Republic of China, by NewsRx correspondents, research stated, “This s tudy aims to assess the diagnostic efficacy of Korean Thyroid imaging reporting and data system (K-TIRADS), S-Detect software and contrast-enhanced ultrasound ( CEUS) when employed individually, as well as their combined application, for the evaluation of thyroid nodules, with the objective of identifying the optimal me thod for diagnosing thyroid nodules. Two hundred and sixty eight cases pathologi cally proven of thyroid nodules were retrospectively enrolled.” Our news editors obtained a quote from the research from Yichang Central People’ s Hospital, “Each nodule was classified according to K-TIRADS. S-Detect software was utilized for intelligent analysis. CEUS was employed to acquire contrast-en hanced features. The area under curve (AUC) values for diagnosing benign and mal ignant thyroid nodules using K-TIRADS alone, S-Detect software alone, CEUS alone , the combined application of K-TIRADS and CEUS, the combined application of S-D etect software and CEUS were 0.668, 0.668, 0.719, 0.741, and 0.759, respectively (p <0.001). The sensitivity rate of S-Detect software was 89.9% (p <0.001). It was the highest of the five diagnostic methods above. The utilization of S-Detect software can be serv ed as a powerful tool for early screening.”
HubeiPeople’s Republic of ChinaAsiaArtificial IntelligenceDiagnostics and ScreeningEmerging TechnologiesEndo crine Gland NeoplasmsHealth and MedicineMachine LearningSoftwareThyroid Diseases and ConditionsThyroid NeoplasmsThyroid Nodules
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