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This is the Framingham scale  which combines the following data Laboratoryespecially blood cholesterol. Blood pressure. Weight and height. Age and sex. Thus with artificial intelligence it would be possible to improve this mathematical forecast automating the calculation and adding variables . Some investigations that we will review below account for this progress The AI ​​that predicts a heart attack in the next 5 years Researchers at Sinai.

Medical Center developed a machine learning algorithm to read coronary angiograms . In this way its artificial intelligence assesses in seconds the size of the cholesterol plaques that patients have in the arteries that carry blood photo editor to the heart. With these data plus the learning that the technology has made from past angiograms patients are classified according to their risk of having a heart attack in 5 years . Speed ​​is the key.



What the AI ​​reads in seconds for doctors usually requires almost 30 minutes per patient. Machine learning in the prediction of heart attacks The University of Nottingham used 4 machine learning algorithms to analyze data from almost 400000 people . They wanted to know if the AIs studied had the ability to predict a heart attack. They entered data such as age sex body mass index medical history and laboratory values.