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Artificial Intelligence-based Automated ECHOcardiographic Measurements and the Workflow of Sonographers (AI-ECHO): Randomized Crossover Trial
The use of artificial intelligence (AI) assistance in echocardiography is proving beneficial in a multitude of ways: significantly reducing time per examination, increasing the average number of examinations per day, improving image quality, and decreasing mental fatigue in sonographers. Through AI-based echocardiography patients receive faster, high-quality diagnostics, which benefit both patient care and clinician workflow.
In this interview, Drs. Jeroen Bax and Nobuyuki Kagiyama examine the results of the AI-ECHO randomized crossover trial.
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By American College of Cardiology
3.8
4747 ratings
The use of artificial intelligence (AI) assistance in echocardiography is proving beneficial in a multitude of ways: significantly reducing time per examination, increasing the average number of examinations per day, improving image quality, and decreasing mental fatigue in sonographers. Through AI-based echocardiography patients receive faster, high-quality diagnostics, which benefit both patient care and clinician workflow.
In this interview, Drs. Jeroen Bax and Nobuyuki Kagiyama examine the results of the AI-ECHO randomized crossover trial.
Subscribe on Apple Podcasts | Subscribe to ACCEL
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