Lotter, William

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

Lotter, W., Diab, A. R., Haslam, B., Kim, J. G., Grisot, G., Wu, E., Wu, K., Onieva, J. O., Boyer, Y., Boxerman, J. L., et al. (2021) · Nature Medicine

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 423

Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms

Schaffter, T., Buist, D. S. M., Lee, C. I., Nikulin, Y., Ribli, D., Guan, Y., Lotter, W., Jie, Z., Du, H., Wang, S., et al. (2020) · JAMA Network Open

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 409

Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions

Lotter, W., Hassett, M. J., Schultz, N., Kehl, K. L., Van Allen, E. M., & Cerami, E. (2024) · Cancer Discovery

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 196

A neural network trained for prediction mimics diverse features of biological neurons and perception

Lotter, W., Kreiman, G., & Cox, D. (2020) · Nature Machine Intelligence

Visual perception and processing mechanismsNeural dynamics and brain function

Cited by 128

How AI is used in FDA-authorized medical devices: a taxonomy across 1,016 authorizations

Singh, R., Bapna, M., Diab, A. R., Ruiz, E. S., & Lotter, W. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationHealthcare Regulation

Cited by 61

The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation

McNamara, S. L., Yi, P. H., & Lotter, W. (2024) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 60