首页|Sichuan University Reports Findings in Artificial Intelligence (The accuracy and quality of image-based artificial intelligence for muscleinvasive bladder canc er prediction)
Sichuan University Reports Findings in Artificial Intelligence (The accuracy and quality of image-based artificial intelligence for muscleinvasive bladder canc er prediction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating from Cheng du, People’s Republic of China, by NewsRx correspondents, researchstated, “To e valuate the diagnostic performance of image-based artificial intelligence (AI) s tudies inpredicting muscle-invasive bladder cancer (MIBC). (2) To assess the re porting quality and methodologicalquality of these studies by Checklist for Art ificial Intelligence in Medical Imaging (CLAIM), RadiomicsQuality Score (RQS), and Prediction model Risk of Bias Assessment Tool (PROBAST). We searchedMedline , Embase, Web of Science, and The Cochrane Library databases up to October 30, 2 023.”
ChengduPeople’s Republic of ChinaAsi aArtificial IntelligenceBladder CancerCancerEmerging TechnologiesHealt h and MedicineMachine LearningOncology
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