McKinney, Scott Mayer

International evaluation of an AI system for breast cancer screening

McKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., Back, T., Chesus, M., Corrado, G. S., Darzi, A., et al. (2020) · Nature

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 3,287

Capabilities of GPT-4 on Medical Challenge Problems

Nori, H., King, N., McKinney, S. M., Carignan, D., & Horvitz, E. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 509

Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation

Majkowska, A., Mittal, S., Steiner, D. F., Reicher, J. J., McKinney, S. M., Duggan, G. E., Eswaran, K., Cameron Chen, P.-H., Liu, Y., Kalidindi, S. R., et al. (2020) · Radiology

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 277

Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

Azizi, S., Culp, L., Freyberg, J., Mustafa, B., Baur, S., Kornblith, S., Chen, T., Tomasev, N., Mitrović, J., Strachan, P., et al. (2023) · Nature Biomedical Engineering

Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

Cited by 250

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Nori, H., Lee, Y. T., Zhang, S., Carignan, D., Edgar, R., Fusi, N., King, N., Larson, J., Li, Y., Liu, W., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 178

Sleep Disruption due to Hospital Noises: A Prospective Evaluation

Buxton, O. M., Ellenbogen, J. M., Wang, W., Carballeira, A., O'Connor, S., Cooper, D., Gordhandas, A. J., McKinney, S. M., & Solet, J. M. (2012) · Annals of Internal Medicine

Noise Effects and ManagementSleep and related disorders

Cited by 163

A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

Gomes, R. G., Vwalika, B., Lee, C., Willis, A., Sieniek, M., Price, J. T., Chen, C., Kasaro, M. P., Taylor, J. A., Stringer, E. M., et al. (2022) · Communications Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 47

From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Nori, H., Usuyama, N., King, N., McKinney, S. M., Fernandes, X., Zhang, S., & Horvitz, E. (2024) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 9