Madhumita Sushil

29 papers Misc 1Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A systematic review of trial-matching pipelines using large language models. CoRR Braxton A. Morrison, Madhumita Sushil, Jacob S. Young
2025	J	`jnl`	Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights. CoRR Deepali Mishra, Chaklam Silpasuwanchai, Ashutosh Modi, Madhumita Sushil, Sorayouth Chumnanvej
2025	J	`jnl`	Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks. J. Am. Medical Informatics Assoc. Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Lisa C. Adams, Keno K. Bressem
2025	J	`jnl`	Robustness tests for biomedical foundation models should tailor to specification. CoRR R. Patrick Xian, Noah R. Baker, Tom David, Qiming Cui, A Jay Holmgren, Stefan Bauer, Madhumita Sushil, Reza Abbasi-Asl
2025	J	`jnl`	Robustness tests for biomedical foundation models should tailor to specifications. npj Digit. Medicine R. Patrick Xian, Noah R. Baker, Tom David, Qiming Cui, A Jay Holmgren, Stefan Bauer, Madhumita Sushil, Reza Abbasi-Asl
2024	J	`jnl`	A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports. J. Am. Medical Informatics Assoc. Madhumita Sushil, Travis Zack, Divneet Mandair, Zhiwei Zheng, Ahmed Wali, Yan-Ning Yu, Yuwei Quan, Dmytro Lituiev, Atul J. Butte
2024	J	`jnl`	A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification. CoRR Madhumita Sushil, Travis Zack, Divneet Mandair, Zhiwei Zheng, Ahmed Wali, Yan-Ning Yu, Yuwei Quan, Atul J. Butte
2024	J	`jnl`	Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data. CoRR Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Jacqueline Lammert, Lisa C. Adams, Keno K. Bressem
2024	J	`jnl`	Evaluating large language models as agents in the clinic. npj Digit. Medicine Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J. Butte, Ahmed M. Alaa
2024	J	`jnl`	Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research. CoRR Brenda Y. Miao, Irene Y. Chen, Christopher Y. K. Williams, Jaysón M. Davidson, Augusto Garcia-Agundez, Harry Sun, Travis Zack, Atul J. Butte, Madhumita Sushil
2023	J	`jnl`	Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data. J. Am. Medical Informatics Assoc. Michelle Wang, Madhumita Sushil, Brenda Y. Miao, Atul J. Butte
2023	J	`jnl`	Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine. CoRR Madhumita Sushil, Atul J. Butte, Ewoud Schuit, Maarten van Smeden, Artuur M. Leeuwenberg
2023	J	`jnl`	Extracting detailed oncologic history and treatment plan from medical oncology notes with large language models. CoRR Madhumita Sushil, Vanessa E. Kennedy, Brenda Y. Miao, Divneet Mandair, Travis Zack, Atul J. Butte
2023	J	`jnl`	Large Language Models as Agents in the Clinic. CoRR Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J. Butte, Ahmed M. Alaa
2023	J	`jnl`	Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes. CoRR Shenghuan Sun, Travis Zack, Christopher Y. K. Williams, Atul J. Butte, Madhumita Sushil
2022	J	`jnl`	Developing a general-purpose clinical language inference model from a large corpus of clinical notes. CoRR Madhumita Sushil, Dana Ludwig, Atul J. Butte, Vivek A. Rudrapatna
2022	J	`jnl`	Topic Modeling on Clinical Social Work Notes for Exploring Social Determinants of Health Factors. CoRR Shenghuan Sun, Travis Zack, Madhumita Sushil, Atul J. Butte
2022	Misc	`conf`	Training a Transferrable Clinical Language Model from 75 million Notes. AMIA Madhumita Sushil, Dana Ludwig, Atul J. Butte, Vivek A. Rudrapatna
2021	—	`conf`	Are we there yet? Exploring clinical domain knowledge of BERT models. BioNLP@NAACL-HLT Madhumita Sushil, Simon Suster, Walter Daelemans
2021	—	`conf`	Contextual explanation rules for neural clinical classifiers. BioNLP@NAACL-HLT Madhumita Sushil, Simon Suster, Walter Daelemans
2021	—	`ed.`	Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, EACL 2021, Online, April 19-23, 2021 EACL (Student Research Workshop) Ionut-Teodor Sorodoc, Madhumita Sushil, Ece Takmaz, Eneko Agirre
2020	J	`jnl`	Distilling neural networks into skipgram-level decision lists. CoRR Madhumita Sushil, Simon Suster, Walter Daelemans
2019	J	`jnl`	Why can't memory networks read effectively? CoRR Simon Suster, Madhumita Sushil, Walter Daelemans
2018	J	`jnl`	Patient representation learning and interpretable evaluation using clinical notes. CoRR Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans
2018	J	`jnl`	Patient representation learning and interpretable evaluation using clinical notes. J. Biomed. Informatics Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans
2018	—	`conf`	Revisiting neural relation classification in clinical notes with external information. Louhi@EMNLP Simon Suster, Madhumita Sushil, Walter Daelemans
2018	—	`conf`	Rule induction for global explanation of trained models. BlackboxNLP@EMNLP Madhumita Sushil, Simon Suster, Walter Daelemans
2018	J	`jnl`	Rule induction for global explanation of trained models. CoRR Madhumita Sushil, Simon Suster, Walter Daelemans
2017	J	`jnl`	Unsupervised patient representations from clinical notes with interpretable classification decisions. CoRR Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans