| Use of artificial intelligence chatbots for cancer treatment information S Chen, BH Kann, MB Foote, HJWL Aerts, GK Savova, RH Mak, ... JAMA oncology 9 (10), 1459-1462, 2023 | 113 | 2023 |
| Evaluation of ChatGPT family of models for biomedical reasoning and classification S Chen, Y Li, S Lu, H Van, HJWL Aerts, GK Savova, DS Bitterman Journal of the American Medical Informatics Association, 2023 | 54 | 2023 |
| Large language models to identify social determinants of health in electronic health records M Guevara, S Chen, S Thomas, TL Chaunzwa, I Franco, BH Kann, ... NPJ digital medicine 7 (1), 6, 2024 | 51 | 2024 |
| The effect of using a large language model to respond to patient messages S Chen, M Guevara, S Moningi, F Hoebers, H Elhalawani, BH Kann, ... The Lancet Digital Health 6 (6), e379-e381, 2024 | 21* | 2024 |
| Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy S Chen, M Guevara, N Ramirez, A Murray, JL Warner, HJWL Aerts, ... JCO Clinical Cancer Informatics 7, e2300048, 2023 | 15 | 2023 |
| Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes A Derton, M Guevara, S Chen, S Moningi, DE Kozono, D Liu, TA Miller, ... JCO Clinical Cancer Informatics 7, e2200196, 2023 | 7 | 2023 |
| Large language models to identify social determinants of health in electronic health records. npj Digit M Guevara, S Chen, S Thomas, TL Chaunzwa, I Franco, BH Kann, ... Med 7 (1), 1-14, 2024 | 5 | 2024 |
| Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias S Chen, J Gallifant, M Gao, P Moreira, N Munch, A Muthukkumar, A Rajan, ... arXiv preprint arXiv:2405.05506, 2024 | 3 | 2024 |
| BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning D Xu, S Chen, T Miller arXiv preprint arXiv:2111.13726, 2021 | 3 | 2021 |
| Measuring Pointwise 𝒱-Usable Information In-Context-ly S Lu, S Chen, Y Li, D Bitterman, G Savova, I Gurevych Findings of the Association for Computational Linguistics: EMNLP 2023, 15739 …, 2023 | 1* | 2023 |
| When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? Y Gao, S Myers, S Chen, D Dligach, TA Miller, D Bitterman, M Churpek, ... arXiv preprint arXiv:2408.11854, 2024 | | 2024 |
| Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks J Gallifant, S Chen, P Moreira, N Munch, M Gao, J Pond, LA Celi, H Aerts, ... arXiv preprint arXiv:2406.12066, 2024 | | 2024 |
| Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data S Chen, J Gallifant, M Guevara, Y Gao, M Afshar, T Miller, D Dligach, ... arXiv preprint arXiv:2403.19511, 2024 | | 2024 |
| LCD Benchmark: Long Clinical Document Benchmark on Mortality Prediction for Language Models WJ Yoon, S Chen, Y Gao, Z Zhao, D Dligach, DS Bitterman, M Afshar, ... medRxiv, 2024.03. 26.24304920, 2024 | | 2024 |
| The TRIPOD-LLM Statement: A Targeted Guideline For Reporting Large Language Models Use J Gallifant, M Afshar, S Ameen, Y Aphinyanaphongs, S Chen, ... medRxiv, 2024.07. 24.24310930, 2024 | | 2024 |
Danielle S. BittermanHarvard Medical School在 dfci.harvard.edu 的电子邮件经过验证
