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Artificial Intelligence Model Predicts Risk of Future Heart Attack

The PET/CT synthetic intelligence mannequin was excellent for predicting coronary heart assault threat in sufferers with established coronary artery illness, offering threat prediction superior to medical knowledge alone.

In on a regular basis medical apply, predicting a coronary heart assault is difficult. The predicted probability of a coronary heart assault sometimes is predicated on cardiovascular threat elements and scores, particularly in sufferers with suspected coronary artery illness. However, in sufferers with confirmed coronary artery illness, cardiovascular threat elements and scores do not at all times present the total image.

‘18F-NaF PET combined with anatomical imaging provided by CT angiography has the potential to enable precision medicine by guiding the use of advanced therapeutic interventions. The study supports the use of artificial intelligence methods for integrating multimodality imaging and clinical data for robust prediction of heart attacks.’

“Recently, advanced imaging techniques have demonstrated considerable promise in determining which coronary artery disease patients are most at risk for a heart attack. These techniques include 18F-sodium fluoride (18F-NaF) PET, which assesses disease activity in the coronary arteries, and CT angiography, which provides a quantitative plaque analysis,” stated Piotr J. Slomka, PhD, FACC, FASNC, FCCPM, director of Innovation in Imaging at Cedars-Sinai Medical Center in Los Angeles, California. “Our goal in the study was to investigate whether the information provided by 18F-NaF PET and CT angiography is complementary and could improve prediction of heart attacks with the use of artificial intelligence techniques.”

Nearly 300 sufferers with established coronary atherosclerosis participated within the research. All sufferers underwent a baseline medical evaluation with analysis of their cardiovascular threat issue profile. All sufferers obtained hybrid coronary 18F-NaF PET and distinction CT coronary angiography. Machine studying—a kind of synthetic intelligence—was used to calculate a joint rating for coronary heart assault threat by incorporating key variables from the medical evaluation, 18F-NaF PET findings and quantitative CT variables.

The machine studying mannequin confirmed substantial enchancment in prediction of coronary heart assault over medical knowledge alone. This strategy demonstrated that 18F-NaF PET and CT angiography are complementary and additive, with the mixture of each offering probably the most sturdy final result prediction.

Source: Eurekalert


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