Fariba Yazdanpanah, MD, MPH
The University of Texas at Tyler - General Preventive Medicine and Public Health
Tyler, Texas, United States
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Dr. Fariba Yazdanpanah, is a physician with extensive experience in clinical medicine and research. She trained in General Preventive Medicine and Public Health at The University of Texas at Tyler and Internal Medicine at the University of Maryland Capital Region Medical Center. She is also a board-certified cardiologist in Iran, having completed cardiology training at Tehran University of Medical Sciences. Dr. Yazdanpanah is committed to advancing patient safety and quality of care through the integration of preventive and curative approaches. Her work focuses on developing innovative healthcare strategies and conducting impactful, cutting-edge clinical research within academic and healthcare systems.
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Topics
From Evidence to Intelligence: Evolving Paradigms in Modern Medical Practice
This session explores how artificial intelligence (AI), machine learning (ML), and digital health technologies can complement evidence-based medicine (EBM) through intelligence-based medicine (IBM). It examines how integrating scientific evidence, clinical expertise, and intelligent technologies can transform clinical reasoning, medical decision-making, and healthcare delivery, advancing a more individualized, informed, and adaptive approach to modern medical practice.
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Smart Approach to Preventing and Managing Heart Disease
This session explores how artificial intelligence (AI) and machine learning (ML) are transforming cardiovascular disease prevention and risk assessment. Participants will gain practical insight into how AI-driven models integrate clinical data, medical imaging, and wearable technologies to improve early detection and personalize preventive strategies. The program highlights real-world applications, current evidence, and emerging trends while addressing key challenges such as data quality, bias, ethics, and clinical integration. Attendees can expect to develop a clear understanding of the strengths and limitations of AI in cardiovascular care, enhance their ability to critically evaluate AI-based tools, and gain actionable knowledge to support informed decision-making in research or clinical practice.
Fariba Yazdanpanah, MD, MPH
The University of Texas at Tyler - General Preventive Medicine and Public Health
Tyler, Texas, United States
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