Robotics & Machine Learning Daily News2024,Issue(Aug.27) :89-90.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.27) :89-90.

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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Abstract

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.”

Key words

Rome/Italy/Europe/Cyborgs/Emerging T echnologies/Health and Medicine/Machine Learning/Surgery/Thrombectomy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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