Robotics & Machine Learning Daily News2024,Issue(Sep.4) :77-78.

Memorial Sloan-Kettering Cancer Center Reports Findings in Artificial Intelligen ce (Artificial Intelligence Enabled Interpretation of ECG Images to Predict Hema topoietic Cell Transplantation Toxicity)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :77-78.

Memorial Sloan-Kettering Cancer Center Reports Findings in Artificial Intelligen ce (Artificial Intelligence Enabled Interpretation of ECG Images to Predict Hema topoietic Cell Transplantation Toxicity)

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Abstract

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 New Y ork City, New York, by NewsRx correspondents, research stated, “Artificialintel ligence enabled interpretation of electrocardiogram waveform images (AI-ECG) can identify patternspredictive of future adverse cardiac events. We hypothesized such an approach, which is well describedin general medical and surgical patien ts, would provide prognostic information with respect to the riskof cardiac com plications and overall mortality in patients undergoing hematopoietic cell trans plantation(HCT) for blood malignancy.”

Key words

New York City/New York/United States/North and Central America/Artificial Intelligence/Atrial Fibrillation/Biomedi cine/Cardiac Arrhythmias/Cardiology/Cell Transplantation/Cell Transplants/E merging Technologies/Health and Medicine/Heart Disease/Heart Disorders and Di seases/Hematology/Hematopoietic/Machine Learning/Risk and Prevention/Stem C ell Transplants/Surgery/Transplant Medicine

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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