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April 2, 2024
ROCKY REACH DAM — “There’s always more than can be done, but I think this is a great step … a foundation for the whole nation to look at how
May 1, 2023
By using AI they can take precautions sooner to prevent a life-ending event from happening.
January 28, 2023
The last Rock Island Confirmation Survival Study was completed back in 2021, with an estimated 94% survival rate.
April 11, 2022
An algorithm that assesses scar patterns in heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.
April 11, 2022
Scientists at Johns Hopkins University developed a new AI technology to address cardiac arrest. Read more to know how this revolutionary technology works.
April 10, 2022
A new artificial-intelligence-based approach can predict if and when a patient could die of cardiac arrest, a recent study led by researchers at John Hopkins University has found.
April 8, 2022
A new study, led by researchers at John Hopkins University, has found that a new artificial-intelligence-based approach can predict if and when a patient could die of cardiac arrest.
April 8, 2022
Get latest articles and stories on Science at LatestLY. A new study, led by researchers at John Hopkins University, has found that a new artificial-intelligence-based approach can predict if and when a patient could die of cardiac arrest. Science News | AI-based Approach Can Predict when Someone Will Have Cardiac Arrest: Study.
April 8, 2022
A recent artificial intelligence-(AI)-based method can forecast if and when a cardiac arrest could cause a patient to die.
April 8, 2022
A study by researchers at Johns Hopkins University has found a new artificial intelligence (AI) approach to predict whether or not a patient could die of cardiac arrest. This system is based on image data of patients' diseased hearts and their histories and the potential to change the clinical decision-making and improve the survival from unexpected and lethal cardiac arrhythmias, which is considered to be the deadliest and most confusing illness in medicine.