ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR ENHANCED DIAGNOSIS
A Focus on Diabetes and Cardiovascular Conditions
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The monograph "Artificial Intelligence and Machine Learning for Enhanced Diagnosis-A Focus on Diabetes and Cardiovascular Conditions" explores the transformative potential of AI and ML technologies in revolutionizing disease diagnosis and patient care within the domains of diabetes and cardiovascular conditions. It delves into the applications of AI and ML in disease diagnosis, highlighting their role in early detection, risk prediction, and personalized treatment strategies. The monograph provides insights into the opportunities and challenges associated with leveraging data-driven approaches...
The monograph "Artificial Intelligence and Machine Learning for Enhanced Diagnosis-A Focus on Diabetes and Cardiovascular Conditions" explores the transformative potential of AI and ML technologies in revolutionizing disease diagnosis and patient care within the domains of diabetes and cardiovascular conditions. It delves into the applications of AI and ML in disease diagnosis, highlighting their role in early detection, risk prediction, and personalized treatment strategies. The monograph provides insights into the opportunities and challenges associated with leveraging data-driven approaches to enhance diagnostic accuracy, improve treatment outcomes, and empower patients in managing chronic diseases. By addressing key research gaps, ethical dilemmas, and future directions, the monograph aims to inform healthcare professionals, researchers, and policymakers about the potential of AI and ML to drive meaningful advancements in disease diagnosis and patient care, ultimately improving the quality of life for individuals affected by diabetes and cardiovascular conditions.
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