Steinberg, Ethan
Stanford University
6 papers on CoChatORCID 0000-0001-7166-5032
Most cited papers
- Verified
The shaky foundations of large language models and foundation models for electronic health records
Wornow, M., Xu, Y., Thapa, R., Patel, B., Steinberg, E., Fleming, S., Pfeffer, M. A., Fries, J., & Shah, N. H. (2023) · npj Digital Medicine
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 324
- Verified
Language models are an effective representation learning technique for electronic health record data
Steinberg, E., Jung, K., Fries, J. A., Corbin, C. K., Pfohl, S. R., & Shah, N. H. (2021) · Journal of Biomedical Informatics
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 132
- Verified
AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature
Birgmeier, J., Haeussler, M., Deisseroth, C. A., Steinberg, E. H., Jagadeesh, K. A., Ratner, A. J., Guturu, H., Wenger, A. M., Diekhans, M. E., Stenson, P. D., et al. (2020) · Science Translational Medicine
Genomics and Rare DiseasesBiomedical Text Mining and Ontologies
Cited by 118
- Verified
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Fleming, S. L., Lozano, A., Haberkorn, W. J., Jindal, J. A., Reis, E., Thapa, R., Blankemeier, L., Genkins, J. Z., Steinberg, E., Nayak, A., et al. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 66
- Verified
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Fleming, S. L., Lozano, A., Haberkorn, W. J., Jindal, J. A., Reis, E. P., Thapa, R., Blankemeier, L., Genkins, J. Z., Steinberg, E., Nayak, A., et al. (2023) · arXiv
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 65
- Verified
Using Aggregate Patient Data at the Bedside via an On-Demand Consultation Service
Callahan, A., Gombar, S., Cahan, E. M., Jung, K., Steinberg, E., Polony, V., Morse, K., Tibshirani, R., Hastie, T., Harrington, R., et al. (2021) · NEJM Catalyst
Electronic Health Records SystemsMachine Learning in Healthcare
Cited by 24
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