Mohamad, Osama

Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: All-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Paulson, K. R., Kamath, A. M., Alam, T., Bienhoff, K., Abady, G. G., Abbas, J., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abd-Elsalam, S. M., et al. (2021) · The Lancet

Global Maternal and Child HealthMaternal and Neonatal Healthcare

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Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

Esteva, A., Feng, J., van der Wal, D., Huang, S.-C., Simko, J. P., DeVries, S., Chen, E., Schaeffer, E. M., Morgan, T. M., Sun, Y., et al. (2022) · npj Digital Medicine

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

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Artificial intelligence predictive model for hormone therapy use in prostate cancer

Spratt, D. E., Tang, S., Sun, Y., Huang, H.-C., Chen, E., Mohamad, O., Armstrong, A. J., Tward, J. D., Nguyen, P. L., Lang, J. M., et al. (2023) · NEJM Evidence

Prostate Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging

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External validation of a digital pathology-based multimodal artificial intelligence architecture in the NRG/RTOG 9902 phase 3 trial

Ross, A. E., Zhang, J., Huang, H.-C., Yamashita, R., Keim-Malpass, J., Simko, J. P., DeVries, S., Morgan, T. M., Souhami, L., Dobelbower, M. C., et al. (2024) · European Urology Oncology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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