Dr. Nadeer Gharaibeh is an emerging radiology researcher whose work integrates advanced medical imaging, radiomics, and AI-assisted diagnostic technologies to enhance clinical interpretation and patient outcomes. His academic and clinical background spans radiology training, clinical imaging practice, and participation in multidisciplinary care, shaping a strong foundation in CT, MRI, radiomics analysis, and interventional imaging principles. With 3 citations across 3 indexed documents, 6 total research documents, and an h-index of 1, his early scholarly footprint reflects steady growth and increasing academic visibility. His research focuses on quantitative imaging, deep learning–based diagnostic enhancement, and the application of compositional MRI techniques for early disease detection. He has contributed to studies on musculoskeletal imaging, venous thrombosis assessment, knee joint instability detection using AI algorithms, and advanced MRI applications in spine pathology, reflecting his commitment to bridging imaging science with clinical relevance. Dr. Gharaibeh’s publications highlight diagnostic challenges, imaging biomarkers, and the potential of machine learning to refine radiologic evaluation. He has actively engaged in international radiology forums, imaging exchange programs, and academic collaborations, strengthening his global research perspective. Alongside his scientific work, he remains consistently involved in clinical projects, imaging workshops, and academic discussions, demonstrating strong analytical, communication, and teamwork capabilities. His broader contributions include community engagement and cultural initiatives, reflecting a well-rounded professional ethos grounded in service, leadership, and continuous learning. Overall, Dr. Gharaibeh’s research trajectory positions him as a dynamic contributor to the evolving fields of medical imaging, radiomics, and AI-driven radiology innovation.
Profile: Scopus
Featured Publications
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Gharaibeh, N. M., Fadoul, H. M., Al-Sarairah, A. H., & Li, X. (2025, July). Osteoid osteoma of the joint capsule: A case report highlighting diagnostic challenges and the role of advanced imaging.
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Sun, D., Wu, G., Zhang, W., Gharaibeh, N. M., & Li, X. (2025, January). Visualizing preosteoarthritis: Updates on UTE-based compositional MRI and deep learning algorithms.
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Li, T., Gharaibeh, N. M., Jia, S., & Wu, G. (2024, December). YOLOv8 algorithm-aided detection of patellar instability or dislocation on knee joint MRI images.
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Wu, G., Wu, Y., Gharaibeh, N. M., & Li, X. (2024, August). Magnetic resonance evaluation of deep venous thrombosis of 338 discharged viral pneumonia patients.
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Fadoul, H. M., Gharaibeh, N. M., Wu, G., & Li, X. (2024, February). The value of 3D SPACE MRI in differentiating between sequestrated lumbar disc herniation and tumors: Two cases and literature review.