首页|University Hospital of Rome Tor Vergata Reports Findings in Thrombectomy (Ensemb le Machine Learning to Predict Futile Recanalization After Mechanical Thrombecto my based on Non-Contrast CT Imaging)
University Hospital of Rome Tor Vergata Reports Findings in Thrombectomy (Ensemb le Machine Learning to Predict Futile Recanalization After Mechanical Thrombecto my based on Non-Contrast CT Imaging)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Thrombectomy is the subject of a report. Accordingto news reporting originating from Rome, Italy, by NewsRx correspondents, research stated, “Despitesuccessful recanaliza tion after Mechanical Thrombectomy (MT), approximately 25% of pati ents withAcute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show u nfavorable clinical outcomes,namely Futile Recanalization (FR). We aimed to use a Machine Learning (ML) Non-Contrast brain CT(NCCT) imaging predictive model t o identify FR in patients undergoing MT.”
RomeItalyEuropeCyborgsEmerging T echnologiesHealth and MedicineMachine LearningSurgeryThrombectomy
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