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Faculty Members have conducted research related to the Potential Strength and Weakness of Artificial Intelligence Integration in Emergency Radiology: A Review of Diagnostic Utilizations and Applications in Patient Care Optimization

Khadijeh Bakhtavar

Associate Professor of Radiology

Department Radiology

School of Medicine

Sina Hospital

Tehran University of Medical Sciences

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1. Ai Assistance Improves Reader Agreement in Digital Mammography: A Multireader Crossover Study of General and Breast Subspecialty Radiologists, Scientific Reports (2026)

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3. A Practical, Clinical User-Friendly Format for Breast Ultrasound Report, European Journal of Breast Health (2021)

4. The Diagnostic Value of Anthropometric Indices of Maxillary Sinuses for Sex Determination Using Ct-Scan Images in Iranian Adults: A Cross-Sectional Study, Journal of Forensic and Legal Medicine (2017)

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Khadijeh Bakhtavar

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