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AI improves echocardiogram reports readability: Study

Becker's Hospital Review - Cardiology

AI can make echocardiogram analysis easier for patients to understand, according to a study published July 31 in the Journal of the American College of Cardiology: Cardiovascular Imaging.

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Artificial intelligence-assisted interpretation of systolic function by echocardiogram

Open Heart

Methods This prospective, multicentre echocardiographic study was conducted by five cardiologists of level 1 echocardiographic skill (minimum level of competency to interpret images) from different hospitals. Protocol 1: Visual LVEFs for the 48 cases were measured without input from the AI-LVEF. ±3.2 (p=0.004) p=0.004) with AI-LVEF.

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Ascension Saint Thomas Hospital Improves Performance through Better Medical Record Management

Society of Thoracic Surgeons - Surgeon

Ascension Saint Thomas Hospital Improves Performance through Better Medical Record Management KCummings Fri, 03/29/2024 - 08:54 Overview In the fast-paced environment of healthcare, hospitals face significant challenges related to medical records. Accurate and relevant data from the STS Database uncovered areas for improvement.

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Abnormal echocardiographic finding mimicking paracardiac cystic lesion

Heart BMJ

He was admitted to our hospital with issues of chest pain, shortness of breath and heart palpitations without any obvious inducement. Figure 1 Transthoracic echocardiogram. (A) He had no medical history of myocardial infarction (MI). A 12-lead ECG indicated sinus rhythm with a heart rate of 78 bpm.

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Unexpected finding on imaging: an aortic valve mass

Heart BMJ

After 24 hours, the patient was readmitted to the hospital with chest pain and troponin elevation, without ECG changes. A transthoracic echocardiogram (TTE) revealed a mobile mass on the right coronary cusp of the aortic valve ( figure 1 , ). The patient was discharged and apixaban was restarted 10 hours later.

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Cedars-Sinai trains most comprehensive echocardiography AI to date

Becker's Hospital Review - Cardiology

Smidt Heart Institute and Cedars-Sinai, both based in Los Angeles, used the largest dataset to date to trained a machine-learning algorithm that can interpret echocardiogram images.

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Study: Robotic Arm Can be Used for Remote Echocardiograms

DAIC

All underwent standard comprehensive echocardiography on a 5G cellular network robotic arm-based remote echocardiographic system, as well as a conventional echocardiographic platform (at Zhongshan Hospital) successively. tim.hodson Thu, 08/29/2024 - 11:39 Aug. 30 – Sept. If you enjoy this content, please share it with a colleague