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ORCIDEmily Alsentzer
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2020 – today
- 2025
[j6]Emily Alsentzer, Michelle M. Li, Shilpa N. Kobren, Ayush Noori, Isaac S. Kohane, Marinka Zitnik:
Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases. npj Digit. Medicine 8(1) (2025)- [j5]Hejie Cui, Alyssa Unell, Bowen Chen, Jason Alan Fries
, Emily Alsentzer, Sanmi Koyejo, Nigam H. Shah:
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records. npj Digit. Medicine 8(1) (2025) - [j4]Brenda Y. Miao, Christopher Y. K. Williams, Ebenezer Chinedu-Eneh, Travis Zack, Emily Alsentzer, Atul J. Butte, Irene Y. Chen:
Understanding contraceptive switching rationales from real world clinical notes using large language models. npj Digit. Medicine 8(1) (2025) - [j3]Elizabeth Geena Woo, Michael C. Burkhart, Emily Alsentzer, Brett K. Beaulieu-Jones:
Synthetic data distillation enables the extraction of clinical information at scale. npj Digit. Medicine 8(1) (2025) - [i20]Hejie Cui, Alyssa Unell, Bowen Chen, Jason Alan Fries, Emily Alsentzer, Sanmi Koyejo, Nigam Shah:
TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records. CoRR abs/2503.04176 (2025) - [i19]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, Sebastian Schneeweiss, Jonathan H. Chen, Santiago Romero-Brufau, Kueiyu Joshua Lin, Jie Yang:
BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text. CoRR abs/2504.19467 (2025) - [i18]Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Michael Wornow, Juan M. Banda, Nikesh Kotecha, Timothy Keyes, Yifan Mai, Mert Oez, Hao Qiu, Shrey Jain, Leonardo Schettini, Mehr Kashyap, Jason Alan Fries, Akshay Swaminathan, Philip Chung, Fateme Nateghi, Asad Aali, Ashwin Nayak, Shivam Vedak, Sneha S. Jain, Birju S. Patel, Oluseyi Fayanju, Shreya J. Shah, Ethan Goh, Dong-han Yao, Brian Soetikno, Eduardo Pontes Reis, Sergios Gatidis, Vasu Divi, Robson Capasso, Rachna Saralkar, Chia-Chun Chiang, Jenelle A. Jindal, Tho Pham, Faraz Ghoddusi, Steven Lin, Albert S. Chiou, Christy Hong, Mohana Roy, Michael F. Gensheimer, Hinesh Patel, Kevin Schulman, Dev Dash, Danton Char, Lance Downing, François Grolleau, Kameron C. Black, Bethel Mieso, Aydin Zahedivash, Wen-wai Yim, Harshita Sharma, Tony Lee, Hannah Kirsch, Jennifer Lee, Nerissa Ambers, Carlene Lugtu, Aditya Sharma, Bilal Mawji, Alex Alekseyev, Vicky Zhou, Vikas Kakkar, Jarrod Helzer, Anurang Revri, Yair Bannett, Roxana Daneshjou, Jonathan H. Chen, Emily Alsentzer, Keith E. Morse, Nirmal Ravi, Nima Aghaeepour, Vanessa Kennedy, Akshay Chaudhari, Thomas Wang, Sanmi Koyejo, Matthew P. Lungren, Eric Horvitz, Percy Liang, Mike Pfeffer, Nigam H. Shah:
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. CoRR abs/2505.23802 (2025) - [i17]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, Sergios Gatidis, Christian Bluethgen, Eduardo Pontes Reis, Eddy D. Zandee van Rilland, Poonam Laxmappa Hosamani, Kevin R. Keet, Minjoung Go, Evelyn Bin Ling, David B. Larson, Curtis P. Langlotz, Roxana Daneshjou, Jason Hom, Sanmi Koyejo, Emily Alsentzer, Akshay S. Chaudhari:
Expert-level validation of AI-generated medical text with scalable language models. CoRR abs/2507.03152 (2025) - [i16]François Grolleau, Emily Alsentzer, Timothy Keyes, Philip Chung, Akshay Swaminathan, Asad Aali, Jason Hom, Tridu Huynh, Thomas Lew, April S. Liang, Weihan Chu, Natasha Z. Steele, Christina F. Lin, Jingkun Yang, Kameron C. Black, Stephen P. Ma, Fateme Nateghi Haredasht, Nigam H. Shah, Kevin Schulman, Jonathan H. Chen:
MedFactEval and MedAgentBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries. CoRR abs/2509.05878 (2025) - [i15]Wenyuan Chen, Fateme Nateghi Haredasht, Kameron C. Black, François Grolleau, Emily Alsentzer, Jonathan H. Chen, Stephen P. Ma:
Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale Evaluation. CoRR abs/2509.22565 (2025) - [i14]Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor:
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR abs/2510.15217 (2025) - [i13]Aishwarya Mandyam, Kalyani Limaye, Barbara E. Engelhardt, Emily Alsentzer:
APRIL: Annotations for Policy evaluation with Reliable Inference from LLMs. CoRR abs/2511.17818 (2025) - [i12]Asad Aali, Muhammad Ahmed Mohsin, Vasiliki Bikia, Arnav Singhvi, Richard Gaus, Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Yifan Mai, Jordan Cahoon, Michael A. Pfeffer, Roxana Daneshjou, Sanmi Koyejo, Emily Alsentzer, Christopher Potts, Nigam H. Shah, Akshay S. Chaudhari:
Structured Prompting Enables More Robust Evaluation of Language Models. CoRR abs/2511.20836 (2025) - [i11]Timothy Keyes, Alison Callahan, Abby Pandya, Nerissa Ambers, Juan M. Banda, Miguel Fuentes, Carlene Lugtu, Pranav Masariya, Srikar Nallan, Connor O'Brien, Thomas Wang, Emily Alsentzer, Jonathan H. Chen, Dev Dash, Matthew A. Eisenberg, Patricia Garcia, Nikesh Kotecha, Anurang Revri, Michael A. Pfeffer, Nigam H. Shah, Sneha S. Jain:
Monitoring Deployed AI Systems in Health Care. CoRR abs/2512.09048 (2025) - 2024
- [j2]Jorge Alberto Rodriguez, Emily Alsentzer, David W. Bates:
Leveraging large language models to foster equity in healthcare. J. Am. Medical Informatics Assoc. 31(9): 2147-2150 (2024) - [i10]Brenda Y. Miao, Christopher Y. K. Williams, Ebenezer Chinedu-Eneh, Travis Zack, Emily Alsentzer, Atul J. Butte, Irene Y. Chen:
Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models. CoRR abs/2402.03597 (2024) - 2023
- [j1]Emily Alsentzer, Matthew J. Rasmussen, Romy Fontoura, Alexis L. Cull, Brett K. Beaulieu-Jones, Kathryn J. Gray, David W. Bates, Vesela P. Kovacheva:
Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models. npj Digit. Medicine 6 (2023) - [c11]Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer:
Do We Still Need Clinical Language Models? CHIL 2023: 578-597 - [i9]Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer:
Do We Still Need Clinical Language Models? CoRR abs/2302.08091 (2023) - 2021
- [c10]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noemie Elhadad:
Exploring Automatic Summarization of the Hospital Course. AMIA 2021 - [c9]Bryan D. Steitz, Emily Alsentzer, Hoo Chang Shin, Byron C. Wallace, Adam Wright:
Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing. AMIA 2021 - [c8]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:
Machine Learning for Health (ML4H) 2021. ML4H@NeurIPS 2021: 1-12 - [c7]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad:
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. NAACL-HLT 2021: 4794-4811 - [c6]Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana:
Intimate Partner Violence and Injury Prediction From Radiology Reports. PSB 2021 - [e3]Subhrajit Roy, Stephen Pfohl, Emma Rocheteau, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer:
Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event. Proceedings of Machine Learning Research 158, PMLR 2021 [contents] - [i8]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad:
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. CoRR abs/2105.00816 (2021) - [i7]Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott:
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. CoRR abs/2112.00179 (2021) - 2020
- [c5]Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li, Marinka Zitnik:
Subgraph Neural Networks. NeurIPS 2020 - [c4]Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland:
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. ML4H@NeurIPS 2020: 1-11 - [e2]Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland:
Machine Learning for Health Workshop, ML4H@NeurIPS 2020, Virtual Event, 11 December 2020. Proceedings of Machine Learning Research 136, PMLR 2020 [contents] - [i6]Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca:
ML4H Abstract Track 2019. CoRR abs/2002.01584 (2020) - [i5]Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li, Marinka Zitnik:
Subgraph Neural Networks. CoRR abs/2006.10538 (2020) - [i4]Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana:
Intimate Partner Violence and Injury Prediction From Radiology Reports. CoRR abs/2009.09084 (2020) - [i3]Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland:
ML4H Abstract Track 2020. CoRR abs/2011.11554 (2020)
2010 – 2019
- 2019
- [c3]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:
Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? ML4H@NeurIPS 2019: 1-9 - [c2]William Boag, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits:
Baselines for Chest X-Ray Report Generation. ML4H@NeurIPS 2019: 126-140 - [e1]Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Brett K. Beaulieu-Jones:
Machine Learning for Health Workshop, ML4H@NeurIPS 2019, Vancouver, BC, Canada, 13 December 2019. Proceedings of Machine Learning Research 116, PMLR 2019 [contents] - [i2]Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott:
Publicly Available Clinical BERT Embeddings. CoRR abs/1904.03323 (2019) - 2018
- [c1]Albee Y. Ling, Emily Alsentzer, Josephine Chen, Juan M. Banda, Suzanne Tamang, Evan P. Minty:
Scalable Electronic Phenotyping For Studying Patient Comorbidities. AMIA 2018 - [i1]Emily Alsentzer, Anne Kim:
Extractive Summarization of EHR Discharge Notes. CoRR abs/1810.12085 (2018)
Coauthor Index
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