| Publicly available clinical BERT embeddings E Alsentzer, J Murphy, W Boag, WH Weng, D Jindi, T Naumann, ... Proceedings of the 2nd clinical natural language processing workshop, 72-78, 2019 | 3428 | 2019 |
| Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study T Zack, E Lehman, M Suzgun, JA Rodriguez, LA Celi, J Gichoya, ... The Lancet Digital Health 6 (1), e12-e22, 2024 | 474 | 2024 |
| Subgraph neural networks E Alsentzer, S Finlayson, M Li, M Zitnik Advances in Neural Information Processing Systems 33, 8017-8029, 2020 | 215 | 2020 |
| Do we still need clinical language models? E Lehman, E Hernandez, D Mahajan, J Wulff, MJ Smith, Z Ziegler, ... Conference on health, inference, and learning, 578-597, 2023 | 188 | 2023 |
| Mitigating the impact of biased artificial intelligence in emergency decision-making H Adam, A Balagopalan, E Alsentzer, F Christia, M Ghassemi Communications Medicine 2 (1), 149, 2022 | 99 | 2022 |
| Baselines for chest x-ray report generation W Boag, TMH Hsu, M McDermott, G Berner, E Alesentzer, P Szolovits Machine learning for health workshop, 126-140, 2020 | 91 | 2020 |
| Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models E Alsentzer, MJ Rasmussen, R Fontoura, AL Cull, B Beaulieu-Jones, ... NPJ digital medicine 6 (1), 212, 2023 | 71 | 2023 |
| What’s in a summary? laying the groundwork for advances in hospital-course summarization G Adams, E Alsentzer, M Ketenci, J Zucker, N Elhadad Proceedings of the conference. Association for Computational Linguistics …, 2021 | 68 | 2021 |
| Investigating inequities in hospital care among lesbian, gay, bisexual, and transgender (LGBT) individuals using social media Y Hswen, KC Sewalk, E Alsentzer, G Tuli, JS Brownstein, JB Hawkins Social science & medicine 215, 92-97, 2018 | 44 | 2018 |
| The effect of microbial colonization on the host proteome varies by gastrointestinal location JS Lichtman, E Alsentzer, M Jaffe, D Sprockett, E Masutani, E Ikwa, ... The ISME journal 10 (5), 1170-1181, 2016 | 43 | 2016 |
| Proceedings of the 2nd clinical natural language processing workshop E Alsentzer, J Murphy, W Boag, WH Weng, D Jindi, T Naumann, ... Association for Computational Linguistics, 2019 | 42 | 2019 |
| It’s time to bench the medical exam benchmark ID Raji, R Daneshjou, E Alsentzer NEJM AI 2 (2), AIe2401235, 2025 | 40 | 2025 |
| Coding inequity: assessing GPT-4’s potential for perpetuating racial and gender biases in healthcare T Zack, E Lehman, M Suzgun, JA Rodriguez, LA Celi, J Gichoya, ... MedRxiv, 2023.07. 13.23292577, 2023 | 40 | 2023 |
| Extractive summarization of ehr discharge notes E Alsentzer, A Kim arXiv preprint arXiv:1810.12085, 2018 | 37 | 2018 |
| MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks S Bedi, H Cui, M Fuentes, A Unell, M Wornow, JM Banda, N Kotecha, ... arXiv preprint arXiv:2505.23802, 2025 | 36 | 2025 |
| Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study BK Beaulieu-Jones, MF Villamar, P Scordis, AP Bartmann, W Ali, ... The Lancet Digital Health 5 (12), e882-e894, 2023 | 35 | 2023 |
| Leveraging large language models to foster equity in healthcare JA Rodriguez, E Alsentzer, DW Bates Journal of the American Medical Informatics Association 31 (9), 2147-2150, 2024 | 32 | 2024 |
| Intimate partner violence and injury prediction from radiology reports IY Chen, E Alsentzer, H Park, R Thomas, B Gosangi, R Gujrathi, ... BIOCOMPUTING 2021: Proceedings of the Pacific Symposium, 55-66, 2020 | 31 | 2020 |
| Machine learning for health (ML4H) 2020: Advancing healthcare for all SK Sarkar, S Roy, E Alsentzer, MBA McDermott, F Falck, I Bica, G Adams, ... Machine Learning for Health, 1-11, 2020 | 19 | 2020 |
| Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases E Alsentzer, MM Li, SN Kobren, A Noori, Undiagnosed Diseases Network, ... npj Digital Medicine 8 (1), 380, 2025 | 14 | 2025 |