Radwa T. Abdel Rahman Data-verified

OverviewAI-generated summary

Radwa T. Abdel Rahman's research focuses on the application of medical imaging and machine learning techniques to improve cancer treatment outcomes. Her work includes leveraging radiomics and serial MRI data, combined with machine learning algorithms, to predict the risk of radiation necrosis in patients with brain metastases undergoing stereotactic radiation and immunotherapy. She has also investigated dosimetric comparisons of different radiotherapy techniques, such as Volumetric Modulated Arc Radiotherapy, for early glottic cancer treatment. Additionally, her publications explore the utility of various PET/CT imaging agents for detecting multiple cancer types within a single patient.

Abdel Rahman collaborates with researchers at the University of Arkansas for Medical Sciences, including Joshua M. Eichhorn and Fathima Fijula Palot Manzil. She has published three papers and holds an h-index of 1, with a total of three citations.

Metrics

• h-index: 1
• Publications: 3
• Citations: 1