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Researchers say AI-based approach can predict when someone will have cardiac arrest - Vimarsana News

Researchers say AI-based approach can predict when someone will have cardiac arrest

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.

AI-based approach can predict when someone will have cardiac arrest: Study - Vimarsana News

AI-based approach can predict when someone will have cardiac arrest: Study

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 - Vimarsana News

Science News | AI-based Approach Can Predict when Someone Will Have Cardiac Arrest: Study

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.

AI Used to Predict Potentially Deadly Arrhythmias - Vimarsana News

AI Used to Predict Potentially Deadly Arrhythmias

A recent artificial intelligence-(AI)-based method can forecast if and when a cardiac arrest could cause a patient to die.

An AI approach that can accurately predict when will one have a cardiac arrest. Find out more! - Vimarsana News

An AI approach that can accurately predict when will one have a cardiac arrest. Find out more!

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.