首页|University of Toronto Reports Findings in Artificial Intelligence (Feasibility o f Artificial Intelligence Powered Adverse Event Analysis: Using a Large Language Model to Analyze Microwave Ablation Malfunction Data)
University of Toronto Reports Findings in Artificial Intelligence (Feasibility o f Artificial Intelligence Powered Adverse Event Analysis: Using a Large Language Model to Analyze Microwave Ablation Malfunction Data)
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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 tonews originating from Toronto, Canada , by NewsRx correspondents, research stated, “Determine if alarge language mode l (LLM, GPT-4) can label and consolidate and analyze interventional radiology (IR) microwave ablation device safety event data into meaningful summaries similar to humans. Microwaveablation safety data from January 1, 2011 to October 31, 2 023 were collected and type of failure wascategorized by human readers.”
TorontoCanadaNorth and Central Ameri caAblation DeviceArtificial IntelligenceEmerging TechnologiesHealth and MedicineMachine LearningMedical DevicesSurgerySurgical Technology
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