After a heart attack, there is a high probability of a second episode within two years of the first. A study by the City of Health of Turin, in collaboration with the University of Turin and the Polytechnic of Turin, is conducting a survey of clinical data of heart attack victims with the help of machine learning and artificial intelligence.
By cross-referencing the case histories of 23,000 patients, it has been shown that it is possible to prevent recurrent episodes or internal bleeding in a range of 70 to 90% of cases. The computational power made available to physicians made it possible to create a database of information regarding the risk of relapse that takes into account a significantly higher number of evaluation factors than can be perceived or predicted by a human. The study published by The Lancet, a British medical-scientific journal, aims to further affirm globally the effectiveness of the use of technology in the medical field, in order to save more and more lives: statistics speak of 6 out of 10 patients who, within 24 months of a heart attack, risk being hospitalized again, 30% of which due to new acute coronary syndrome.
Cardiologist Fabrizio D'Ascenzo, professor of the course Cardiovascular Diseases in nursing and medical degrees, is coordinator of the report on this study. D'Ascenzo has highlighted how, with traditional methods, 3 cases of recurrence out of 10 escaped the predictive ability of medical teams, while thanks to artificial intelligence the figure will be lowered to only 1 case out of 10.