Khosravi, Bardia

Mitigating Bias in Radiology Machine Learning: 1. Data Handling

Rouzrokh, P., Khosravi, B., Faghani, S., Moassefi, M., Vera Garcia, D. V., Singh, Y., Zhang, K., Conte, G. M., & Erickson, B. J. (2022) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 145

FDA Review of Radiologic AI Algorithms: Process and Challenges

Zhang, K., Khosravi, B., Vahdati, S., & Erickson, B. J. (2024) · Radiology

Artificial Intelligence in Healthcare and EducationHealthcare Regulation

Cited by 46

Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline

Mese, I., D’Antonoli, T. A., Bluethgen, C., Bressem, K., Cuocolo, R., Chaudhari, A., Tejani, A. S., Isaac, A., Ponsiglione, A., Meddeb, A., et al. (2026) · Diagnostic and Interventional Radiology

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 17

AI in action: a road map from the radiology AI council for effective model evaluation and deployment

Trivedi, H., Khosravi, B., Gichoya, J., Benson, L., Dyckman, D., Galt, J., Howard, B. M., Kikano, E. G., Kunjummen, J., Lall, N., et al. (2025) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 15