首页|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)

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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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.”

New York CityNew YorkUnited StatesNorth and Central AmericaArtificial IntelligenceAtrial FibrillationBiomedi cineCardiac ArrhythmiasCardiologyCell TransplantationCell TransplantsE merging TechnologiesHealth and MedicineHeart DiseaseHeart Disorders and Di seasesHematologyHematopoieticMachine LearningRisk and PreventionStem C ell TransplantsSurgeryTransplant Medicine

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.4)