Articles tagged with 'AI' | Cedars-Sinai Medical Center

The Cedars-Sinai Department of Computational Biomedicine recently sharpened its focus on advancing artificial intelligence and machine learning by establishing the Center for Artificial Intelligence Research and Education.The center’s scientists are ...

What if your physician could predict if—or when—you might experience a heart attack, cardiac arrest or another heart-related problem?Investigators are one step closer to achieving this breakthrough in preventive healthcare and offering patients perso...

Who can assess and diagnose cardiac function best after reading an echocardiogram: artificial intelligence (AI) or a sonographer?According to Cedars-Sinai investigators and their research published today in the peer-reviewed journal Nature, AI proved...

A new study by Cedars-Sinai investigators describes how ChatGPT, an artificial intelligence (AI) chatbot, may help improve health outcomes for patients with cirrhosis and liver cancer by providing easy-to-understand information about basic knowledge,...

Cedars-Sinai investigators have developed a new AI model that can rapidly assess the severity of COVID-19 pneumonia. The automated deep-learning framework, described in the Journal of Medical Imaging, helps aid in the evaluation of disease progressio...

FINDINGSCedars-Sinai investigators and colleagues have developed an artificial intelligence (AI) tool that uses computed tomography (CT) scans to identify patients at risk of reduced blood flow to the heart. The tool is able to accurately predict red...

Several recent discoveries show that the accuracy of diagnosing coronary artery disease and predicting patient risk is improved with the help of artificial intelligence (AI) models developed by scientists in the Division of Artificial Intelligence in...

The Cedars-Sinai Department of Computational Biomedicine has received an $8 million grant from the National Institutes of Health to study Alzheimer’s disease. The research, led by Jason H. Moore, PhD, chair of the Department of Computational Biomedic...

In a first-of-its-kind blinded 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 dia...

Cedars-Sinai investigators have created bio-realistic and complex computer models of individual brain cells—in unparalleled quantity. Their research, published today in the peer-reviewed journal Cell Reports, details how these models could one day an...

Ever since Corey Walker, MD, became a spine surgeon, the traditional measure of success focused on how well a patient was able to walk, bend or move after spine surgery. Now, with the help of artificial intelligence, Walker is measuring success diffe...

Graciela Gonzalez-Hernandez, PhD, has been named vice chair of Cedars-Sinai’s Department of Computational Biomedicine. In this position, Gonzalez-Hernandez will focus on collaborating with investigators across the Cedars-Sinai Health System and expan...

An artificial intelligence (AI) tool developed by Cedars-Sinai investigators accurately predicted who would develop pancreatic cancer based on what their CT scan images looked like years prior to being diagnosed with the disease. The findings, which ...

Cedars-Sinai’s newest department, Computational Biomedicine, is up and running, giving the Cedars-Sinai Newsroom an opportunity to speak with the department’s founding chair, Jason H. Moore, about the history of this relatively new field, how to mine...

Clinician-scientists in the Smidt Heart Institute at Cedars-Sinai developed a clinical algorithm that, for the first time, distinguishes between treatable sudden cardiac arrest and untreatable forms of the condition. The findings, published today in ...

Investigators from Cedars-Sinai have created an artificial intelligence-enabled tool that may make it easier to predict if a person will have a heart attack.The tool, described in The Lancet Digital Health, accurately predicted which patients would e...

Physician-scientists in the Smidt Heart Institute at Cedars-Sinai have created an artificial intelligence (AI) tool that can effectively identify and distinguish between two life-threatening heart conditions that are often easy to miss: hypertrophic ...