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Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language. This approach can enhance the accuracy and effectiveness of ECG-related diagnoses, especially for cardiac conditions where limited data is available on which to train. ....
The research, which builds on a training approach similar to that of ChatGPT, uses image-based modeling for ECG analysis – potentially enabling more effective heart function assessment and diagnosis of heart attacks and hypertrophic cardiomyopathy. ....
Mount Sinai Scientists Employ Novel Deep Learning Method to Analyze ECGs as Language miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
Mount Sinai's AI model, HeartBEiT, improves the accuracy and detail of ECG diagnoses, even for rare conditions with limited data. It interprets ECGs as language and outperforms traditional CNNs, highlighting specific ECG areas responsible for heart conditions. Mount Sinai researchers have develop ....
“New York, NY (PRWEB) June 06, 2023 New York, NY (June 6, 2023) – Mount Sinai researchers have developed an innovative artificial intelligence (AI) model ....