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GE Healthcare, American College of Cardiology unite toward AI-powered cardiac care

GE Healthcare announced this week that it would be teaming up with the American College of Cardiology to push forward artificial intelligence and digital technology in cardiac care.
The company says it will lend its perspective to the ACC s Applied Health Innovation Consortium, a collaboration of patient advocates and academic, clinical, industry and technology partners aimed at digitally transforming healthcare.
We are excited to have GE Healthcare join forces with the Applied Health Innovation Consortium, said Dr. John Rumsfeld, ACC chief innovation officer and chief science and quality officer, in a statement.
In our mission to transform cardiovascular care and improve heart health, GE Healthcare is a great collaborator to help build a roadmap for AI and digital technology that bridges gaps in clinical care, added Rumsfeld. ....

Peter Noseworthy , Kat Jercich , John Rumsfeld , Health Innovation Consortium , American College Of Cardiology , Technology Scientist For Cardiology Solutions Eigil Samset , Ge Healthcare , American College , Applied Health Innovation Consortium , Chief Technology Scientist , Cardiology Solutions Eigil Samset , Mayo Clinic , பீட்டர் மூக்குத்தி , ஆரோக்கியம் கண்டுபிடிப்பு கூட்டமைப்பு , அமெரிக்கன் கல்லூரி ஆஃப் இருதயவியல் , கே சுகாதாரம் , அமெரிக்கன் கல்லூரி , மயோ சிகிச்சையகம் ,

Mayo Clinic AI algorithm proves effective at spotting early-stage heart disease in routine EKG data

May 10, 2021 11:02am
In a study, the artificial intelligence screening tool significantly increased diagnoses of low ejection fraction in its earliest, most treatable stages without requiring a time-consuming echocardiogram. (Pixabay)
It still remains to be seen whether the sci-fi genre is correct and artificial intelligence will one day rise up against the human race, but in the meantime, AI just might save your life.
An algorithm developed by the Mayo Clinic can significantly increase the number of cases of low ejection fraction caught in its earliest stages, when it’s still most treatable, according to a study published this month in Nature Medicine. ....

Xiaoxi Yao , Peter Noseworthy , Mayo Clinic , பீட்டர் மூக்குத்தி , மயோ சிகிச்சையகம் ,

AI-ECG Allows for Early Diagnosis of Low EF

May 10, 2021
An artificial intelligence (AI)-enabled ECG algorithm integrated into routine care can increase the diagnosis of low ejection fraction (EF), according to new randomized trial data.
“Because ECG is a low-cost test frequently performed for a variety of purposes, the algorithm could potentially improve early diagnosis and treatment in broad populations,” write Xiaoxi Yao, PhD (Mayo Clinic, Rochester, MN), and colleagues in their study published online last week in
Nature Medicine. The algorithm uses neural networks to predict a high likelihood of low EF, an often-missed predictor of adverse events, based on standard 12-lead electrocardiogram data.
But the success of the technology developed by the same team who recently published results on identifying long QT syndrome in a similar fashion is dependent on it actually being used by clinicians, Yao told TCTMD. Since a myriad of AI-based algorithms are created daily, and money and IT resources to be eng ....

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AI-guided Detection of Heart Disease in Routine Practice

AI-guided Detection of Heart Disease in Routine Practice
by Colleen Fleiss on
May 9, 2021 at 11:41 AM
Artificial intelligence (AI) screening helps detect low ejection fraction using data from an EKG could improve the diagnosis of this condition in routine practice. Study findings are published in Nature Medicine.
Systolic low ejection fraction is defined as the heart s inability to contract strongly enough with each beat to pump at least 50% of the blood from its chamber. An echocardiogram can readily diagnose low ejection fraction, but this time-consuming imaging test requires more resources than a 12-lead EKG, which is fast, inexpensive and readily available. The AI-enabled EKG algorithm was tested and developed through a convolutional neural network and validated in subsequent studies. ....

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Mayo Clinic finds algorithm helped clinicians detect heart disease, as part of broader AI diagnostics push

Mayo Clinic shared results of a study showing that an AI tool developed by the system could be used to improve diagnosis of low ejection fraction, a type of heart disease. It's part of a broader push by Mayo Clinic to commercialize AI-based diagnostic tools, starting with spinout company Anumana. ....

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