Allen, Bibb

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Langlotz, C. P., Allen, B., Erickson, B. J., Kalpathy-Cramer, J., Bigelow, K., Cook, T. S., Flanders, A. E., Lungren, M. P., Mendelson, D. S., Rudie, J. D., et al. (2019) · Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 368

FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies

Ebrahimian, S., Kalra, M. K., Agarwal, S., Bizzo, B. C., Elkholy, M., Wald, C., Allen, B., & Dreyer, K. J. (2022) · Academic Radiology

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 120

Democratizing AI

Allen, B., Agarwal, S., Kalpathy-Cramer, J., & Dreyer, K. (2019) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 40

Artificial intelligence in radiology: the ecosystem essential to improving patient care

Sogani, J., Allen, B., Dreyer, K., & McGinty, G. (2020) · Clinical Imaging

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 36

Artificial Intelligence in Health Care: Brave New World or Golden Opportunity?

Dreyer, K., & Allen, B. (2018) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 28