首页|Studies from Massachusetts General Hospital Update Current Data on Artificial In telligence (Assessing Laterality Errors In Radiology: Comparing Generative Artif icial Intelligence and Natural Language Processing)
Studies from Massachusetts General Hospital Update Current Data on Artificial In telligence (Assessing Laterality Errors In Radiology: Comparing Generative Artif icial Intelligence and Natural Language Processing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Artific ial Intelligence. According to news reportingoriginating from Boston, Massachus etts, by NewsRx correspondents, research stated, “We compared theperformance of generative artificial intelligence (AI) (Augmented Transformer Assisted Radiolo gy Intelligence[ATARI, Microsoft Nuance, Microsoft Corporati on, Redmond, Washington]) and natural languageprocessing (NL P) tools for identifying laterality errors in radiology reports and images. We u sed anNLP-based (mPower, Microsoft Nuance) tool to identify radiology reports f l agged for laterality errors inits Quality Assurance Dashboard.”
BostonMassachusettsUnited StatesNo rth and Central AmericaArtificial IntelligenceEmerging TechnologiesHealth and MedicineMachine LearningNatural Language ProcessingRadiologyMassachu setts General Hospital
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