Ziyad Abdulaziz Alajlan
Department of medical imaging, King Saud Medical City, Riyadh, Saudi Arabia
Publications
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Research Article
Artificial Intelligence in Imaging-Based Diagnosis of Rib Fractures: Enhancing Clinical Decision-Making and Psychological Confidence in Sports Injury Management
Author(s): Moamen Abdelfadil Ismail*, Raja mohsin S alibrahim, Sarah Mohammed R Alqurashi, Ruba Mahmoud Almuallim, Yazeed abdulaziz Alhazzani Gp, Fay Naif Abdullah Alanazi, Maryam Ahmed Mahmoud Balkhair, Ziyad Abdulaziz Alajlan, Ghadi Said Alahmadi, Ruba Dhaifallah Alotaibi, Watan Abdulla Alsahlawi, Faisal Faihan Alotaibi, Wessal Abdullah Alwardi, Mohammed Abdulhadi Faris Alghamdi and Rakan Nahedh H Almutairi
Background: Artificial Intelligence (AI) has emerged as a transformative tool in medical diagnostics, particularly in radiology, where it aids in the accurate and timely detection of skeletal injuries such as rib fractures. Rib fractures, often challenging to diagnose due to their subtle presentation on imaging, are commonly assessed using X-rays and CT scans. While X-rays are widely accessible, their sensitivity is limited, whereas CT scans offer higher resolution but are time-consuming to interpret. AI, leveraging convolutional neural networks (CNNs), presents a promising solution to enhance diagnostic accuracy and efficiency in detecting rib fractures. Methods: This retrospective diagnostic accuracy study evaluated an AI system's performance in identifying rib fractures using chest X-rays and CT scans from 200 patients, including 100 .. Read More»