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UrduA recent study designed and implemented by investigators at Cedars-Sinai found that artificial intelligence (AI) can accurately evaluate cardiovascular risk during a routine chest computed tomography (CT) scan without contrast.
Tag: Division of Artificial Intelligence in Medicine
New Studies: AI Captures Electrocardiogram Patterns That Could Signal a Future Sudden Cardiac Arrest
Two new studies by Cedars-Sinai investigators support using artificial intelligence (AI) to predict sudden cardiac arrest—a health emergency that in 90% of cases leads to death within minutes.
Cedars-Sinai Uses AI to Identify People With Abnormal Heart Rhythms
Investigators from the Smidt Heart Institute at Cedars-Sinai found that an artificial intelligence (AI) algorithm can detect an abnormal heart rhythm in people not yet showing symptoms.
Study: Individuals Feel Sex-Specific Symptoms Before Impending Cardiac Arrest
Investigators from the Smidt Heart Institute at Cedars-Sinai are one step closer to helping individuals catch a sudden cardiac arrest before it happens, thanks to a study published today in the peer-reviewed journal The Lancet Digital Health.
Association of American Physicians Taps Cedars-Sinai Leader as President-Elect
Physician-scientist Paul Noble, MD, chair of the Department of Medicine at Cedars-Sinai, was named president-elect of the Association of American Physicians (AAP) at the group’s annual meeting in Chicago on April 22.
Is Artificial Intelligence Better at Assessing Heart Health?
Who can assess and diagnose cardiac function best after reading an echocardiogram: artificial intelligence (AI) or a sonographer?
The Shape of Your Heart Matters
Curious to know if you’re at risk for two common heart conditions? Your doctor may want to check the shape of your heart.
Artificial Intelligence Shown to More Rapidly and Objectively Determine Calcium Scores Than Physicians
A study published today in the Journal of the American College of Cardiology (JACC): Cardiovascular Imaging shows that artificial intelligence tools can more rapidly, and objectively, determine calcium scores in computed tomographic (CT) and positron emission tomographic (PET) images than physicians, even when obtained from very-low-radiation CT attenuation scans.
Late-Breaking Heart Research: AI More Accurate Than Technicians
In a first-of-its-kind randomized clinical trial led by researchers at the Smidt Heart Institute and the Division of Artificial Intelligence in Medicine at Cedars-Sinai, artificial intelligence (AI) proved more successful in assessing and diagnosing cardiac function when compared to echocardiogram assessments made by sonographers.