AI-Enhanced Health Tools for Revolutionizing Hypertension Management and Blood Pressure Control

Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
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تاریخ نمایه سازی: 20 خرداد 1403


Artificial intelligence (AI) has emerged as a transformative technology in healthcare, offering innovative solutions for blood pressure management and control. This article explores the potential impact of AI-enhanced health tools in revolutionizing the approach to managing blood pressure. Various AI models, including machine learning algorithms, deep learning techniques, natural language processing, reinforcement learning, and Bayesian networks, are utilized to analyze data, predict outcomes, and provide personalized recommendations for individuals. These AI models have the capability to extract insights from complex datasets, identify patterns, and tailor interventions based on individual needs and preferences. Despite the promising potential of AI in blood pressure management, several challenges must be addressed. Data quality and privacy concerns, interpretability and transparency of AI algorithms, bias and fairness in decision-making, regulatory and ethical considerations, integration and adoption issues, as well as validation and performance assessments pose significant hurdles in the implementation of AI-enhanced health tools. Overcoming these challenges requires a collaborative effort among healthcare providers, data scientists, ethicists, regulators, and policymakers to ensure the safe, effective, and ethical use of AI in healthcare settings. By addressing these challenges proactively and leveraging the power of AI, healthcare providers can optimize treatment strategies, improve patient outcomes, and empower individuals to take control of their health. The integration of AI in blood pressure management has the potential to transform healthcare delivery, enhance personalized care, and ultimately contribute to better health outcomes for individuals.


Aysan Faezi

Department of Health Information Technology, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran

Bahman Alinezhad

Health and Biomedical Informatics Research Center, Urmia University of medical sciences, Urmia, Iran