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2020 – today
- 2024
[j5]Shan Chen
, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman:
Evaluating the ChatGPT family of models for biomedical reasoning and classification. J. Am. Medical Informatics Assoc. 31(4): 940-948 (2024)- [j4]Jack Gallifant, Danielle S. Bitterman, Leo Anthony Celi, Judy W. Gichoya, João Matos, Liam G. McCoy, Robin L. Pierce:
Ethical debates amidst flawed healthcare artificial intelligence metrics. npj Digit. Medicine 7(1) (2024) - [j3]Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann, Shalini Moningi, Jack M. Qian, Madeleine Goldstein, Susan Harper, Hugo J. W. L. Aerts, Paul J. Catalano, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman:
Large language models to identify social determinants of health in electronic health records. npj Digit. Medicine 7(1) (2024) - [c5]Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar:
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP (Findings) 2024: 5414-5428 - [c4]Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman:
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. EMNLP (Findings) 2024: 12448-12465 - [c3]David S. Restrepo, Luis Filipe Nakayama, Robyn Gayle Dychiao, Chenwei Wu, Liam G. McCoy, Jose Carlo Artiaga, Marisa Cobanaj, João Matos, Jack Gallifant, Danielle S. Bitterman, Vincenz Ferrer, Yindalon Aphinyanaphongs, Leo Anthony Celi:
Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering. ICHI 2024: 565-566 - [e1]Tristan Naumann, Asma Ben Abacha, Steven Bethard, Kirk Roberts, Danielle S. Bitterman:
Proceedings of the 6th Clinical Natural Language Processing Workshop, ClinicalNLP@NAACL 2024, Mexico City, Mexico, June 21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-109-4 [contents] - [i15]Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman:
Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. CoRR abs/2403.19511 (2024) - [i14]Lasse Hyldig Hansen, Nikolaj Andersen, Jack Gallifant, Liam G. McCoy, James K. Stone, Nura Izath, Marcela Aguirre-Jerez, Danielle S. Bitterman, Judy Gichoya, Leo Anthony Celi:
Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources. CoRR abs/2405.05049 (2024) - [i13]Shan Chen, Jack Gallifant, Mingye Gao, Pedro Moreira, Nikolaj Munch, Ajay Muthukkumar, Arvind Rajan, Jaya Kolluri, Amelia Fiske, Janna Hastings, Hugo J. W. L. Aerts, Brian Anthony, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman:
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias. CoRR abs/2405.05506 (2024) - [i12]Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman:
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. CoRR abs/2406.12066 (2024) - [i11]Rui Yang, Yilin Ning, Emilia Keppo, Mingxuan Liu, Chuan Hong, Danielle S. Bitterman, Jasmine Chiat Ling Ong, Daniel Shu Wei Ting, Nan Liu:
Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine. CoRR abs/2406.12449 (2024) - [i10]Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar:
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? CoRR abs/2408.11854 (2024) - [i9]Huizi Yu, Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi, Xiang Li, Wenyue Hua, Mingyu Jin, Guang Chen, Yang Zhou, Zhao Li, Trisha Gupte, Ming-Li Chen, Zahra Azizi, Yongfeng Zhang, Themistocles L. Assimes, Xin Ma, Danielle S. Bitterman, Lin Lu, Lizhou Fan:
AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow. CoRR abs/2409.18924 (2024) - [i8]Xiaoye Wang, Nicole Xi Zhang, Hongyu He, Trang Nguyen, Kun-Hsing Yu, Hao Deng, Cynthia Brandt, Danielle S. Bitterman, Ling Pan, Ching-Yu Cheng, James Zou, Dianbo Liu:
Safety challenges of AI in medicine. CoRR abs/2409.18968 (2024) - [i7]Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo J. W. L. Aerts, Jack Gallifant, Danielle S. Bitterman:
Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation. CoRR abs/2409.20385 (2024) - 2023
- [c2]Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych:
Measuring Pointwise \mathcalV-Usable Information In-Context-ly. EMNLP (Findings) 2023: 15739-15756 - [i6]Shan Chen, Marco Guevara, Nicolas Ramirez, Arpi Murray, Jeremy L. Warner, Hugo J. W. L. Aerts, Timothy A. Miller, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman:
Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy. CoRR abs/2303.13722 (2023) - [i5]Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman:
Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification. CoRR abs/2304.02496 (2023) - [i4]Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann, Shalini Moningi, Jack M. Qian, Madeleine Goldstein, Susan Harper, Hugo J. W. L. Aerts, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman:
Large Language Models to Identify Social Determinants of Health in Electronic Health Records. CoRR abs/2308.06354 (2023) - [i3]Weipeng Zhou, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller:
Considerations for health care institutions training large language models on electronic health records. CoRR abs/2309.12339 (2023) - [i2]Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych:
Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly. CoRR abs/2310.12300 (2023) - [i1]Shan Chen, Marco Guevara, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann, Fallon E. Chipidza, Jonathan Leeman, Hugo J. W. L. Aerts, Timothy A. Miller, Guergana K. Savova, Raymond H. Mak, Maryam Lustberg, Majid Afshar, Danielle S. Bitterman:
The impact of using an AI chatbot to respond to patient messages. CoRR abs/2310.17703 (2023) - 2022
- [j2]Xiyu Ding, Michael L. Barnett, Ateev Mehrotra, Delphine S. Tuot, Danielle S. Bitterman, Timothy A. Miller:
Classifying unstructured electronic consult messages to understand primary care physician specialty information needs. J. Am. Medical Informatics Assoc. 29(9): 1607-1617 (2022) - 2021
- [j1]Roman Zeleznik, Jakob Weiss, Jana Taron, Christian V. Guthier, Danielle S. Bitterman, Cindy Hancox, Benjamin H. Kann, Daniel W. Kim, Rinaa S. Punglia, Jeremy Bredfeldt, Borek Foldyna, Parastou Eslami, Michael T. Lu, Udo Hoffmann, Raymond H. Mak, Hugo J. W. L. Aerts:
Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. npj Digit. Medicine 4 (2021) - 2020
- [c1]Danielle S. Bitterman, Timothy A. Miller, David Harris, Chen Lin, Sean Finan, Jeremy L. Warner, Raymond H. Mak, Guergana Savova:
Extracting Relations between Radiotherapy Treatment Details. ClinicalNLP@EMNLP 2020: 194-200
Coauthor Index
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