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Rachel V Thomas

New Deep Learning Model Reads Heart MRI Scans As Accurately As Specialists

A newly developed deep learning-based artificial intelligence (AI) system can read heart MRI scans as accurately as medical specialists.

The deep learning model developed by researchers at the University of Pennsylvania is trained on more than 300,000 MRI video clips from roughly 20,000 patients.

The system matches specialists in assessing heart function and diagnosing many heart conditions, according to a study published in the journal Nature Biomedical Engineering. 

“Cardiac MRI is one of the most powerful tools available to cardiologists, but interpreting these scans requires rare expertise, and many hospitals -especially community and rural centers- lack specialists who regularly read complex cardiac MRI studies,” said Rohan Shad, an integrated cardiothoracic surgery resident in the Perelman School of Medicine at the University of Pennsylvania.

<h2>How The Deep Learning Model Worked</h2>

In the study, the researchers described a foundational vision system for cardiac MRI that is capable of representing the breadth of human cardiovascular disease and health.

The “foundation model” learns by linking MRI videos to their corresponding radiology reports, enabling it to recognize a wide range of conditions without extensive labeled data.

In tests, it estimated ejection fraction with expert‑level accuracy and identified severe heart dysfunction far more effectively than traditional AI methods.

It also diagnosed 39 cardiac conditions — including genetic problems like hypertrophic and dilated cardiomyopathies.

In a real‑world screen of more than 40,000 scans, the AI flagged 112 previously undiagnosed cases of hypertrophic cardiomyopathy.

According to researchers, the system could help hospitals without specialized cardiac imaging expertise detect rare but treatable diseases earlier.

Also read: <a href="https://www.healthandme.com/health-wellness/women-turning-to-ai-for-health-detection-helpful-tool-or-risky-trend-womens-day-special-article-153781621" data-type="tilCustomLink">Women Turning to AI for Health Detection: Helpful Tool or Risky Trend? </a>

A cardiac MRI is a scan of the heart in which radio waves and magnets create images. It shows the parts of the heart, such as chambers, valves, and muscles, are working ― including how the blood moves.

A cardiac MRI is typically performed to  

<ul><li>decode heart symptoms like chest pain, shortness of breath, or fainting </li><li>diagnose congenital heart disease, heart failure, heart masses, valve disease, </li><li>understand muscle damage, infection, protein buildup, and iron deposits </li><li>check damage post a heart attack</li></ul>

AI-powered techniques such as Machine Learning and Deep Learning are transforming how heart diseases are detected, treated, and managed globally.

Also read: <a href="https://www.healthandme.com/health-wellness/women-are-more-comfortable-with-ai-assisted-mammography-article-151475150" data-type="tilCustomLink">Women Are More Comfortable With AI-Assisted Mammography</a>

The technology has enabled faster analysis of large amounts of medical data—such as ECGs, heart MRIs, and patient records. It also flags patterns that may be missed by humans, and helps in early detection, treatment, and improving survival rates.

In 2024, the American Heart Association issued a scientific statement on the use of AI in improving outcomes in heart disease.

The objective aimed "to enable precision medicine and implementation science in cardiovascular research and clinical care".

However, it urged policymakers to develop principles and ethical guidance for the development and application of AI/ML-based digital health.

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A newly developed deep learning-based artificial intelligence (AI) system can read heart MRI scans as accurately as medical specialists. The deep learning model developed by researchers at the University of Pennsylvania is trained on more than 300,000 MRI video clips from roughly 20,000 patients. The system matches specialists in assessing heart function and diagnosing many heart conditions, according to a study published in the journal Nature Biomedical Engineering.  “Cardiac MRI is one of the most powerful tools available to cardiologists, but interpreting these scans requires rare expertise, and many hospitals -especially community and rural centers- lack specialists who regularly read complex cardiac MRI studies,” said Rohan Shad, an integrated cardiothoracic surgery resident in the Perelman School of Medicine at the University of Pennsylvania. How The Deep Learning Model Worked In the study, the researchers described a foundational vision system for cardiac MRI that is capable of representing the breadth of human cardiovascular disease and health. The “foundation model” learns by linking MRI videos to their corresponding radiology reports, enabling it to recognize a wide range of conditions without extensive labeled data. In tests, it estimated ejection fraction with expert‑level accuracy and identified severe heart dysfunction far more effectively than traditional AI methods. It also diagnosed 39 cardiac conditions — including genetic problems like hypertrophic and dilated cardiomyopathies.In a real‑world screen of more than 40,000 scans, the AI flagged 112 previously undiagnosed cases of hypertrophic cardiomyopathy. According to researchers, the system could help hospitals without specialized cardiac imaging expertise detect rare but treatable diseases earlier.Also read: Women Turning to AI for Health Detection: Helpful Tool or Risky Trend?     What Is A Cardiac MRIA cardiac MRI is a scan of the heart in which radio waves and magnets create images. It shows the parts of the heart, such as chambers, valves, and muscles, are working ― including how the blood moves. A cardiac MRI is typically performed to  decode heart symptoms like chest pain, shortness of breath, or fainting diagnose congenital heart disease, heart failure, heart masses, valve disease, understand muscle damage, infection, protein buildup, and iron deposits check damage post a heart attackAI And Heart HealthAI-powered techniques such as Machine Learning and Deep Learning are transforming how heart diseases are detected, treated, and managed globally.Also read: Women Are More Comfortable With AI-Assisted MammographyThe technology has enabled faster analysis of large amounts of medical data—such as ECGs, heart MRIs, and patient records. It also flags patterns that may be missed by humans, and helps in early detection, treatment, and improving survival rates.In 2024, the American Heart Association issued a scientific statement on the use of AI in improving outcomes in heart disease. The objective aimed "to enable precision medicine and implementation science in cardiovascular research and clinical care".However, it urged policymakers to develop principles and ethical guidance for the development and application of AI/ML-based digital health.

new deep learning model reads heart mri scans as accurately as specialists

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New Deep Learning Model Reads Heart MRI Scans As Accurately As Specialists

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New Deep Learning Model Reads Heart MRI Scans As Accurately As Specialists