چکیده مقاله
Introduction:Artificial Intelligence AI has emerged as a transformative tool in the healthcare industry,particularly in diagnosing and predicting heart diseases With advancements in computingscience, AI driven technologies such as Decision Support Systems DSS , machine learningalgorithms, and neural networks offer promising solutions to enhance diagnostic accuracyand patient outcomes Cardiovascular diseases, including coronary artery disease CAD , areleading causes of mortality worldwide, and early detection is crucial for effective interventionand treatment AI tools, especially those integrated into wearable and portable devices,provide non invasive methods to monitor heart health, reducing hospital visits and improvingpatient management Methods and Results:This review examines the role of AI in heart disease diagnosis, focusing on its application inidentifying key risk factors, predicting disease progression, and supporting clinical decisionmaking AI based models, such as neural networks and random forests, have demonstratedhigh classification accuracy for heart disease prediction Studies reviewed utilized databasessuch as the UCI Heart Disease dataset, identifying important predictors like age, chest pain,and blood pressure The integration of AI in cardiovascular care has also improved theunderstanding of genetic and lifestyle influences on heart health, enabling more personalizedtreatment plans Additionally, AI has proven useful in analyzing large medical datasets andimproving the precision of diagnostic tools, including imaging techniques, through deeplearning models Conclusion:AI's integration into the medical field, particularly for diagnosing and managing heartdiseases, has the potential to revolutionize healthcare delivery However, challenges such asdata privacy, algorithmic bias, and generalization of models across populations remain Addressing these issues will enable wider adoption and enhanced patient outcomes Furtherresearch into AI applications in cardiovascular care could lead to more accurate,personalized, and preventive treatment approaches, ultimately reducing the global burden ofheart disease
کلیدواژهها
نویسندگان
Elham Mirahmadi
Department of nursing , Semnan branch, Islamic Azad University,Semnan, Iran
Fatemeh Heydari
Department of nursing , Semnan branch, Islamic Azad University,Semnan, Iran
شیوه ارجاع
Mirahmadi, Elham and Heydari, Fatemeh,1403,The Use of Artificial Intelligence in the Diagnosis and Predictionof Heart Diseases,18th International Conference on Health, Treatment and Health Promotion
ارائهشده در
مجموعه مقالات هجدهمین کنفرانس بین المللی بهداشت، درمان و ارتقای سلامت18 آبان 1403