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Unstructured data in Electronic Health Records (EHRs) often contains critical information -- complementary to imaging -- that could inform radiologists' diagnoses.
Publicly available clinical BERT embeddings
Emily Alsentzer, John Murphy, William Boag, Wei-Hung Weng, Di Jindi, Tristan Naumann, and Matthew McDermott · 1909
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Differentiation of tumefactive demyelinating lesions from high-grade gliomas with the use of diffusion tensor imaging
CH Toh, K-C Wei, S-H Ng, Y-L Wan, M Castillo, and C-P Lin · 2012
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Automated methods for the summarization of electronic health records
Rimma Pivovarov and Noémie Elhadad · 2015
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spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing
Matthew Honnibal and Ines Montani · 2017
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A novel system for extractive clinical note summarization using ehr data
Jennifer Liang, Ching-Huei Tsou, and Ananya Poddar · 2019
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Optimizing the factual correctness of a summary: A study of summarizing radiology reports
Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D Manning, and Curtis P Langlotz · 2019
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Query-focused ehr summarization to aid imaging diagnosis
Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem Meent, and Byron C Wallace · 2020
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Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y Ng, and Matthew P Lungren · 2020
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Attend to medical ontologies: Content selection for clinical abstractive summarization
Sajad Sotudeh, Nazli Goharian, and Ross W Filice · 2020
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Huggingface’s transformers: State-of-the-art natural language processing, 2020
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush · 2020
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What’s in a summary? laying the groundwork for advances in hospital-course summarization
Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, and Noémie Elhadad · 2021
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Diagnostic surveillance of high-grade gliomas: towards automated change detection using radiology report classification
Tommaso Di Noto, Chirine Atat, Eduardo Gamito Teiga, Monika Hegi, Andreas Hottinger, Meritxell Bach Cuadra, Patric Hagmann, and Jonas Richiardi · 2021
Cited alongside, same era.
Radbert-cl: Factually-aware contrastive learning for radiology report classification
Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F Rousseau, Yifan Peng, and Ying Ding · 2021
Cited alongside, same era.
Medknowts: unified documentation and information retrieval for electronic health records
Luke Murray, Divya Gopinath, Monica Agrawal, Steven Horng, David Sontag, and David R Karger · 2021
Cited alongside, same era.
Large language models are zero-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, and David Sontag · 2022
Cited alongside, same era.
Prometheus: Inducing fine-grained evaluation capability in language models
Seungone Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, et al · 2023
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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 Johnson, and Emily Alsentzer · 2023
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CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models
Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, and Byron C. Wallace · 2023
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Factscore: Fine-grained atomic evaluation of factual precision in long form text generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, and Hannaneh Hajishirzi · 2023
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Can generalist foundation models outcompete special-purpose tuning? case study in medicine
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Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al · 2022
Cited alongside, same era.
A large language model for electronic health records
Xi Yang, Aokun Chen, Nima PourNejatian, Hoo Chang Shin, Kaleb E Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B Costa, Mona G Flores, et al · 2022
Cited alongside, same era.
Large language models and the perils of their hallucinations
Razvan Azamfirei, Sapna R Kudchadkar, and James Fackler · 2023
Cited alongside, same era.
Booookscore: A systematic exploration of book-length summarization in the era of llms
Yapei Chang, Kyle Lo, Tanya Goyal, and Mohit Iyyer · 2023
Cited alongside, same era.
Can large language models be an alternative to human evaluations?
Cheng-Han Chiang and Hung-yi Lee · 2023
Cited alongside, same era.
Radgraph2: Modeling disease progression in radiology reports via hierarchical information extraction
Sameer Khanna, Adam Dejl, Kibo Yoon, Quoc Hung Truong, Hanh Duong, Agustina Saenz, and Pranav Rajpurkar · 2023
Cited alongside, same era.
Mistral 7b, 2023a
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed
Cited in the paper.
Conceptualizing machine learning for dynamic information retrieval of electronic health record notes
Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David Karger, and David Sontag
Cited in the paper.
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, and Eric Horvitz · 2023
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Towards expert-level medical question answering with large language models
Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, et al · 2023
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Less likely brainstorming: Using language models to generate alternative hypotheses
Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, and Justin F Rousseau · 2023
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Miles Turpin, Julian Michael, Ethan Perez, and Samuel R Bowman · 2023
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Radadapt: Radiology report summarization via lightweight domain adaptation of large language models
Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin, Wah Chiu, Jean-Benoit Delbrouck, Juan Manuel Zambrano Chaves, Curtis P Langlotz, et al · 2023
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How language model hallucinations can snowball
Muru Zhang, Ofir Press, William Merrill, Alisa Liu, and Noah A Smith · 2023
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