Danielle S. Bitterman

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Top Venues

npj Digit. Medicine

J. Am. Medical Informatics Assoc.

EMNLP (Findings)

Publications

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 (2024)
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)
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 (2024)
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) (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2023)
Weipeng Zhou, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller
Considerations for health care institutions training large language models on electronic health records. CoRR (2023)
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 (2023)
Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych
Measuring Pointwise \mathcalV-Usable Information In-Context-ly. EMNLP (Findings) (2023)
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 (2023)
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 (2023)
Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych
Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly. CoRR (2023)
Roman Zeleznik, Jakob Weiss, Jana Taron, Christian 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)