Scalable Electronic Phenotyping For Studying Patient Comorbidities. - Albee Y. Ling; Emily Alsentzer; Josephine Chen; Juan M. Banda; Suzanne Tamang; Evan P. Minty (AMIA, 2018)

Extractive Summarization of EHR Discharge Notes. - Emily Alsentzer; Anne Kim (CoRR, 2018)

Baselines for Chest X-Ray Report Generation. - William Boag; Tzu-Ming Harry Hsu; Matthew B. A. McDermott; Gabriela Berner; Emily Alsentzer; Peter Szolovits (ML4H@NeurIPS, 2019)

Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? - Adrian V. Dalca; Matthew B. A. McDermott; Emily Alsentzer; Samuel G. Finlayson; Michael Oberst; Fabian Falck; Corey Chivers; Andrew Beam; Tristan Naumann; Brett K. Beaulieu-Jones (ML4H@NeurIPS, 2019)

Publicly Available Clinical BERT Embeddings. - Emily Alsentzer; John R. Murphy; Willie Boag; Wei-Hung Weng; Di Jin; Tristan Naumann; Matthew B. A. McDermott (CoRR, 2019)

Subgraph Neural Networks. - Emily Alsentzer; Samuel G. Finlayson; Michelle M. Li; Marinka Zitnik (NeurIPS, 2020)

Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. - Suproteem K. Sarkar; Subhrajit Roy; Emily Alsentzer; Matthew B. A. McDermott; Fabian Falck; Ioana Bica; Griffin Adams; Stephen Pfohl; Stephanie L. Hyland (ML4H@NeurIPS, 2020)

ML4H Abstract Track 2019. - Matthew B. A. McDermott; Emily Alsentzer; Samuel G. Finlayson; Michael Oberst; Fabian Falck; Tristan Naumann; Brett K. Beaulieu-Jones; Adrian V. Dalca (CoRR, 2020)

ML4H Abstract Track 2020. - Emily Alsentzer; Matthew B. A. McDermott; Fabian Falck; Suproteem K. Sarkar; Subhrajit Roy; Stephanie L. Hyland (CoRR, 2020)

Exploring Automatic Summarization of the Hospital Course. - Griffin Adams; Emily Alsentzer; Mert Ketenci; Jason Zucker 001; Noemie Elhadad (AMIA, 2021)

Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing. - Bryan D. Steitz; Emily Alsentzer; Hoo Chang Shin; Byron C. Wallace; Adam Wright (AMIA, 2021)

Machine Learning for Health (ML4H) 2021. - Subhrajit Roy; Stephen Pfohl; Girmaw Abebe Tadesse; Luis Oala; Fabian Falck; Yuyin Zhou; Liyue Shen; Ghada Zamzmi; Purity Mugambi; Ayah Zirikly; Matthew B. A. McDermott; Emily Alsentzer (ML4H@NeurIPS, 2021)

What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. - Griffin Adams; Emily Alsentzer; Mert Ketenci; Jason Zucker 001; Noémie Elhadad (NAACL-HLT, 2021)

Intimate Partner Violence and Injury Prediction From Radiology Reports. - Irene Y. Chen; Emily Alsentzer; Hyesun Park; Richard Thomas; Babina Gosangi; Rahul Gujrathi; Bharti Khurana (PSB, 2021)

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. - Fabian Falck; Yuyin Zhou; Emma Rocheteau; Liyue Shen; Luis Oala; Girmaw Abebe; Subhrajit Roy; Stephen Pfohl; Emily Alsentzer; Matthew B. A. McDermott (CoRR, 2021)

Do We Still Need Clinical Language Models? - Eric Lehman; Evan Hernandez; Diwakar Mahajan; Jonas Wulff; Micah J. Smith; Zachary Ziegler; Daniel Nadler; Peter Szolovits; Alistair E. W. Johnson; Emily Alsentzer (CHIL, 2023)

Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models. - Emily Alsentzer; Matthew J. Rasmussen; Romy Fontoura; Alexis L. Cull; Brett K. Beaulieu-Jones; Kathryn J. Gray; David W. Bates; Vesela P. Kovacheva (npj Digit. Medicine, 2023)

Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models. - Brenda Y. Miao; Christopher Y. K. Williams; Ebenezer Chinedu-Eneh; Travis Zack; Emily Alsentzer; Atul J. Butte; Irene Y. Chen (CoRR, 2024)

Leveraging large language models to foster equity in healthcare. - Jorge Alberto Rodriguez; Emily Alsentzer; David W. Bates (J. Am. Medical Informatics Assoc., 2024)

Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases. - Emily Alsentzer; Michelle M. Li; Shilpa N. Kobren; Ayush Noori; Isaac S. Kohane; Marinka Zitnik (npj Digit. Medicine, 2025)

Understanding contraceptive switching rationales from real world clinical notes using large language models. - Brenda Y. Miao; Christopher Y. K. Williams; Ebenezer Chinedu-Eneh; Travis Zack; Emily Alsentzer; Atul J. Butte; Irene Y. Chen (npj Digit. Medicine, 2025)

Synthetic data distillation enables the extraction of clinical information at scale. - Elizabeth Geena Woo; Michael C. Burkhart; Emily Alsentzer; Brett K. Beaulieu-Jones (npj Digit. Medicine, 2025)

TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records. - Hejie Cui; Alyssa Unell; Bowen Chen; Jason Alan Fries; Emily Alsentzer; Sanmi Koyejo; Nigam Shah (CoRR, 2025)

BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text. - Jiageng Wu; Bowen Gu; Ren Zhou; Kevin Xie; Douglas Snyder; Yixing Jiang; Valentina Carducci; Richard Wyss; Rishi J. Desai; Emily Alsentzer; Leo Anthony Celi; Adam Rodman; et al. (CoRR, 2025)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. - Suhana Bedi; Hejie Cui; Miguel Fuentes; Alyssa Unell; Michael Wornow; Juan M. Banda; Nikesh Kotecha; Timothy Keyes; Yifan Mai 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 2025)

Expert-level validation of AI-generated medical text with scalable language models. - Asad Aali; Vasiliki Bikia; Maya Varma; Nicole Chiou; Sophie Ostmeier; Arnav Singhvi; Magdalini Paschali; Ashwin Kumar; Andrew Johnston; Karimar Amador-Martinez; Eduardo Juan Perez Guerrero; Paola Naovi Cruz Rivera; et al. (CoRR, 2025)