Neifert, Sean N.

Health system-scale language models are all-purpose prediction engines

Jiang, L. Y., Liu, X. C., Nejatian, N. P., Nasir-Moin, M., Wang, D., Abidin, A., Eaton, K., Riina, H. A., Laufer, I., Punjabi, P., et al. (2023) · Nature

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Medical large language models are vulnerable to data-poisoning attacks

Alber, D. A., Yang, Z., Alyakin, A., Yang, E., Rai, S., Valliani, A. A., Zhang, J., Rosenbaum, G. R., Amend-Thomas, A. K., Kurland, D. B., et al. (2025) · Nature Medicine

Adversarial Robustness in Machine LearningMisinformation and Its Impacts

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General-purpose large language models outperform specialized clinical AI tools on medical benchmarks

Vishwanath, K., Alyakin, A., Ghosh, M., Hage, A., Neifert, S. N., Orillac, C., Mandelberg, N. J., Khan, H. A., Lee, J. V., Yao, J. J., et al. (2026) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

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Robust Prediction of Non-home Discharge After Thoracolumbar Spine Surgery With Ensemble Machine Learning and Validation on a Nationwide Cohort

Valliani, A. A., Kim, N. C., Martini, M. L., Gal, J. S., Neifert, S. N., Feng, R., Geng, E. A., Kim, J. S., Cho, S. K., Oermann, E. K., et al. (2022) · World Neurosurgery

Machine Learning in HealthcareArtificial Intelligence in Healthcare

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