Yeung, J., Sehgal, C., Sagreiya, H. Lung Ultrasound: Utility and Role in Differentiating Alveolar-Interstitial Syndromes. , American Roentgen Ray Society 2026: 2026

Tran, R.H., Raghupathy, P., Hazim, M., Thompson, E., Swago, S., Bhattaru, A., MacLean, M., Duda, J.T., Gee, J., Kahn, C., Rader, D.J., Borthakur, A., Witschey, W.R., Sagreiya, H. Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on CT scans. , Diabetes, Obesity and Metabolism: 2026,1-10

Till, J.E., Gal-Rosenberg, O., Gilberto, S.G., Seewald, N.J., Ballinger, D.G., Samberg, H.E., Yin, M.R., Wang, Q., Cannas, S., Kim, K.N., Tien, K., Sawi, M., Madineedi, V., Furniss, S., Gocheva, V., Nowak, J., Brais, L.K., Yuan, C., Rosenthal, M.H., Roses, R., DeMatteo, R., Lee, M.K., Vollmer, C., Sagreiya, H., O’Hara, M.H., Shemer, R., Wolpin, B., Dor, Y., Carpenter, E.L. Plasma cell-free DNA markers predict occult metastases in patients with resectable pancreatic ductal adenocarcinoma. , Clinical and Translational Medicine, 16(1): 2026,e70573

Meng, S., Sagreiya, H., Orangi-Fard, N. Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States. , Advances in Respiratory Medicine, 94(1): 2026,5

Sundaram, K.M., Sagreiya, H., Rosen, M.A. Editorial for “Preoperative Assessment of Extraprostatic Extension in Prostate Cancer Using an Interpretable Tabular Prior-Data Fitted Network-Based Radiomics Model From MRI.” , Journal of Magnetic Resonance Imaging, 63(1): 2026,113-114

Byun, S., Sagreiya, H. Hemothorax Quantification with AI: Background, Current Research, and Future Frontiers. , Chest Imaging - Science and Practice: 2026

Zhuang, R., Borthakur, A., Kahn, C.E., Duda, J., Rader, D., Gee, J.C., Witschey, W.R., Sagreiya, H. Application of Deep Learning-Based CT Quantification of Muscle, Visceral Fat, and Intramuscular Fat to Identify Laboratory and Clinical Risk Factors for Sarcopenia. , Radiological Society of North America: 2025

Tran, R.H., Raghupathy, P., Hazim, M., Thompson, E., Swago, S., Bhattaru, A., MacLean, M., Duda, J.T., Gee, J., Kahn, C., Rader, D.J., Borthakur, A., Witschey, W.R., Sagreiya, H. Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on CT scans. , MedRxiv: 2025

Mehdiratta, G., Duda, J.T., Elahi, A., Borthakur, A., Chatterjee, N., Gee, J.C., Rader, D.J., MacLean, M.T., Serper, M., Zhang, D., Sagreiya, H., Kahn, C.E., Witschey, W.R. A Multi-Hospital Study of Automated Opportunistic Screening for Hepatic Steatosis. , Radiological Society of North America: 2025

Sagreiya, H. Reply to “Minimizing Medical Malpractice Risk for Radiologists Using Artificial Intelligence.” , American Journal of Roentgenology: 2025