Arq. Bras. Cardiol. 2024; 121(4): e20240280
Can Artificial Intelligence Change our Interpretation of Cardiovascular Risk Scores?
Maria Cristina Meira Ferreira
, Glaucia Maria Moraes de Oliveira
This Short Editorial is referred by the Research article "Beyond the GRACE ACS Score: Do We Need a Different Model for Men and Women after STEMI?".
The need to discover ways to predict future events has fascinated the human race since its beginnings. Through observations stored in human memory, predicting events was part of security and survival of humanity. Over the centuries, the need for prediction became part of several sciences, due to its extreme importance in guiding strategic decision-making, and in medicine it wasn’t different.
Human beings have developed skills in recording, organizing, and storing data for future analysis. We went from storing in analog mode to digital, and along with the development of statistical methods, analysis of large databases has become possible. In medicine, complex algorithms used by computer systems began to predict the risk of developing diseases, prognoses, the best therapeutic strategies, risk of events, mortality, among others.
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