ARTIFICIAL INTELLIGENCE APPLIED TO EARLY DIAGNOSIS OF CARDIOVASCULAR DISEASES IN ADULTS IN PARÁ

Abstract

Introduction: Cardiovascular diseases are one of the main causes of mortality in the state of Pará, requiring innovative strategies for their prevention and early diagnosis. Artificial intelligence (AI) has emerged as a promising tool in the analysis of clinical data to identify risk patterns, especially in regions with limited access to specialists. Objective: To report the experience of implementing an AI-based software to assist in the early diagnosis of cardiovascular diseases in a referral hospital in Pará. Material and Methods: The tool was integrated into the hospital system of a public institution in Pará and analyzed medical histories and laboratory tests of patients treated at an emergency unit. Professionals were trained to interpret the reports generated by the AI ​​and verify its accuracy in predicting cardiovascular risks. Results and Conclusion: The use of AI allowed greater accuracy in identifying patients at risk, reducing the time for clinical decision-making. The experience demonstrated that the technology can optimize screening processes and improve the quality of care in the state, highlighting its potential for expansion in other health units in Pará.