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Do We Still Need Clinical Language Models?

CHIL 2023 Best Paper Award

Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair Johnson, Emily Alsentzer

Just Following AI Orders: When Unbiased People Are Influenced By Biased AI

Hammaad Adam, Aparna Balagopalan, Emily Alsentzer, Fotini Christia, Marzyeh Ghassemi

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 BA McDermott, Emily Alsentzer

Baselines for chest x-ray report generation

William Boag, Tzu-Ming Harry Hsu, Matthew McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits

Intimate partner violence and injury prediction from radiology reports

Irene Y Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana

Machine Learning for Health (ML4H) 2019: What Makes Machine Learning in Medicine Different?

Adrian V Dalca, Matthew BA McDermott, Emily Alsentzer, Samuel G Finlayson, Michael Oberst, Fabian Falck, Corey Chivers, Andrew Beam, Tristan Naumann, Brett Beaulieu-Jones

Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All

Suproteem K Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew BA McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L Hyland

Subgraph Neural Networks

Emily Alsentzer, Samuel Finlayson, Michelle Li, Marinka Zitnik

Publicly Available Clinical BERT Embeddings

Contextual word embedding models such as ELMo and BERT have dramatically improved performance for many natural language processing …

Emily Alsentzer, John Murphy, William Boag, Wei-Hung Weng, Di Jindi, Tristan Naumann, Matthew McDermott

Scalable Electronic Phenotyping For Studying Patient Comorbidities

Albee Y Ling, Emily Alsentzer, Josephine Chen, Juan M Banda, Suzanne Tamang, Evan Minty