Volume 12, Issue 1 (spring 2025)
J Prevent Med 2025, 12(1): 1-6 |
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Marzban A. AI applications in preventive medicine for cardiovascular disease. J Prevent Med 2025; 12 (1) :1-6
URL: http://jpm.hums.ac.ir/article-1-815-en.html
URL: http://jpm.hums.ac.ir/article-1-815-en.html
Department of Health in Disasters and Emergencies, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
Abstract: (421 Views)
Dear Editor
Cardiovascular diseases (CVDs) are among the foremost causes of mortality worldwide. These diseases can be caused by a variety of factors, including poor lifestyle, high blood pressure, diabetes, obesity, and stress (1, 2). Therefore, prevention of these diseases requires early diagnosis and management of the related risk factors. Artificial intelligence as an advanced technology can play an effective role in this field. (3) Given the increasing prevalence of cardiovascular diseases in different societies and the importance of preventing these diseases, it is necessary to pay attention to new and innovative solutions to improve cardiovascular health. One of these effective solutions is the use of artificial intelligence (AI) in preventive medicine. This letter will discuss the applications of artificial intelligence in preventive medicine for cardiovascular diseases.
Early detection
One of the most important applications of AI in preventive medicine is early detection of cardiovascular diseases. Using machine learning algorithms and medical data analysis, AI can identify and predict early disease patterns and signs (4). For example, by analyzing data from electrocardiography (ECG), blood pressure, and blood tests, AI algorithms can predict the risk of heart attack with high accuracy. This helps doctors to take appropriate preventive measures in the early stages of the disease (5).
Risk Factor Management
Artificial intelligence can help to better manage risk factors associated with cardiovascular disease. By analyzing data related to a person’s lifestyle, nutrition, physical activity, and health status, AI algorithms can provide personalized recommendations (6). For example, by analyzing data from wearable devices such as smartwatches, AI can advise a person how to increase their physical activity and improve their diet. These recommendations can help to reduce risk factors and prevent cardiovascular disease.
Continuous monitoring
Another important application of AI in preventive medicine is continuous monitoring and monitoring of the health status of patients. By using smart devices and connecting them to artificial intelligence systems, patients' cardiovascular conditions can be continuously monitored (8). For example, smart devices can continuously measure heart rate, blood pressure, and blood oxygen levels and send this data to an AI system. AI algorithms can detect abnormal changes and notify doctors. This helps doctors to take immediate action if necessary and prevent more serious problems from occurring.
Improving treatments and preventive measures
Artificial intelligence can help to improve treatments and preventive measures in cardiovascular patients. By analyzing medical data and scientific research results, AI algorithms can suggest the best treatments for each patient. For example, by analyzing data on a person's health status and medical history, AI can help doctors to choose the right medications and treatment regimens. This helps to improve the quality of treatment and reduce side effects.
Challenges and obstacles
Despite all the benefits of AI in preventive medicine for cardiovascular disease, there are still challenges and barriers that need to be addressed. One of the most important challenges is the privacy and security of medical data. The collection and analysis of large volumes of personal data requires attention to ethical and security principles. There is also a need to develop appropriate infrastructures for the use of AI in health systems ( 3 , 4 , 8 ).
Conclusion
AI can be used as a powerful tool in preventive medicine for cardiovascular diseases. AI can improve cardiovascular health at every stage, from early risk factor detection and management to continuous monitoring and advanced treatments. However, there is a need to address the existing challenges and barriers and develop appropriate infrastructures for optimal use of this technology. We hope that this letter will be used as a useful scientific reference for researchers and health professionals in the field of cardiovascular disease prevention.
Ethical Considerations
The research was conducted in compliance with ethical principles.
Thanks and appreciation
The author thanks the Vice Chancellor of Research and Technology of Iran University of Medical Sciences for access to the scientific databases.
Cardiovascular diseases (CVDs) are among the foremost causes of mortality worldwide. These diseases can be caused by a variety of factors, including poor lifestyle, high blood pressure, diabetes, obesity, and stress (1, 2). Therefore, prevention of these diseases requires early diagnosis and management of the related risk factors. Artificial intelligence as an advanced technology can play an effective role in this field. (3) Given the increasing prevalence of cardiovascular diseases in different societies and the importance of preventing these diseases, it is necessary to pay attention to new and innovative solutions to improve cardiovascular health. One of these effective solutions is the use of artificial intelligence (AI) in preventive medicine. This letter will discuss the applications of artificial intelligence in preventive medicine for cardiovascular diseases.
Early detection
One of the most important applications of AI in preventive medicine is early detection of cardiovascular diseases. Using machine learning algorithms and medical data analysis, AI can identify and predict early disease patterns and signs (4). For example, by analyzing data from electrocardiography (ECG), blood pressure, and blood tests, AI algorithms can predict the risk of heart attack with high accuracy. This helps doctors to take appropriate preventive measures in the early stages of the disease (5).
Risk Factor Management
Artificial intelligence can help to better manage risk factors associated with cardiovascular disease. By analyzing data related to a person’s lifestyle, nutrition, physical activity, and health status, AI algorithms can provide personalized recommendations (6). For example, by analyzing data from wearable devices such as smartwatches, AI can advise a person how to increase their physical activity and improve their diet. These recommendations can help to reduce risk factors and prevent cardiovascular disease.
Continuous monitoring
Another important application of AI in preventive medicine is continuous monitoring and monitoring of the health status of patients. By using smart devices and connecting them to artificial intelligence systems, patients' cardiovascular conditions can be continuously monitored (8). For example, smart devices can continuously measure heart rate, blood pressure, and blood oxygen levels and send this data to an AI system. AI algorithms can detect abnormal changes and notify doctors. This helps doctors to take immediate action if necessary and prevent more serious problems from occurring.
Improving treatments and preventive measures
Artificial intelligence can help to improve treatments and preventive measures in cardiovascular patients. By analyzing medical data and scientific research results, AI algorithms can suggest the best treatments for each patient. For example, by analyzing data on a person's health status and medical history, AI can help doctors to choose the right medications and treatment regimens. This helps to improve the quality of treatment and reduce side effects.
Challenges and obstacles
Despite all the benefits of AI in preventive medicine for cardiovascular disease, there are still challenges and barriers that need to be addressed. One of the most important challenges is the privacy and security of medical data. The collection and analysis of large volumes of personal data requires attention to ethical and security principles. There is also a need to develop appropriate infrastructures for the use of AI in health systems ( 3 , 4 , 8 ).
Conclusion
AI can be used as a powerful tool in preventive medicine for cardiovascular diseases. AI can improve cardiovascular health at every stage, from early risk factor detection and management to continuous monitoring and advanced treatments. However, there is a need to address the existing challenges and barriers and develop appropriate infrastructures for optimal use of this technology. We hope that this letter will be used as a useful scientific reference for researchers and health professionals in the field of cardiovascular disease prevention.
Ethical Considerations
The research was conducted in compliance with ethical principles.
Thanks and appreciation
The author thanks the Vice Chancellor of Research and Technology of Iran University of Medical Sciences for access to the scientific databases.
Type of Study: Letter to the Editor |
Subject:
general Hygiene
Received: 2025/02/7 | Accepted: 2025/03/30 | Published: 2025/10/5
Received: 2025/02/7 | Accepted: 2025/03/30 | Published: 2025/10/5
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