Madhumita Sushil, PhD
Assistant Professor
Medicine
School of Medicine

Websites

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• Posts on X madhumitasushil (X.com)

Publications (18)

Top publication keywords:
Electronic Health RecordsIntensive Care UnitsMedical InformaticsSupervised Machine LearningPharmacovigilanceAlgorithmsSemanticsNatural Language ProcessingInflammatory Bowel DiseasesPattern Recognition, AutomatedMedical RecordsData MiningPatient AcuityDatasets as TopicBreast Neoplasms

• The MI-CLAIM-GEN checklist for generative artificial intelligence in health.
  Nature medicine 2025 Miao BY, Chen IY, Williams CYK, Davidson J, Garcia-Agundez A, Sun S, Zack T, Saria S, Arnaout R, Quer G, Sadaei HJ, Torkamani A, Beaulieu-Jones B, Yu B, Gianfrancesco M, Butte AJ, Norgeot B, Sushil M
• Assessing Large Language Models for Oncology Data Inference From Radiology Reports.
  JCO clinical cancer informatics 2024 Chen LC, Zack T, Demirci A, Sushil M, Miao B, Kasap C, Butte A, Collisson EA, Hong JC
• Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes.
  JAMIA open 2024 Sun S, Zack T, Williams CYK, Butte AJ, Sushil M
• A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports.
  Journal of the American Medical Informatics Association : JAMIA 2024 Sushil M, Zack T, Mandair D, Zheng Z, Wali A, Yu YN, Quan Y, Lituiev D, Butte AJ
• Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department.
  JAMA network open 2024 Williams CYK, Zack T, Miao BY, Sushil M, Wang M, Kornblith AE, Butte AJ

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• Evaluating large language models as agents in the clinic.
  NPJ digital medicine 2024 Mehandru N, Miao BY, Almaraz ER, Sushil M, Butte AJ, Alaa A
• CORAL: Expert-Curated Oncology Reports to Advance Language Model Inference
  NEJM AI 2024 Sushil M, Kennedy VE, Mandair D, Miao BY, Zack T, Butte AJ
• Algorithmic Identification of Treatment-Emergent Adverse Events From Clinical Notes Using Large Language Models: A Pilot Study in Inflammatory Bowel Disease.
  Clinical pharmacology and therapeutics 2024 Silverman AL, Sushil M, Bhasuran B, Ludwig D, Buchanan J, Racz R, Parakala M, El-Kamary S, Ahima O, Belov A, Choi L, Billings M, Li Y, Habal N, Liu Q, Tiwari J, Butte AJ, Rudrapatna VA
• Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing.
  The Lancet. Digital health 2024 Miao BY, Sushil M, Xu A, Wang M, Arneson D, Berkley E, Subash M, Vashisht R, Rudrapatna V, Butte AJ
• Cross-institution natural language processing for reliable clinical association studies: a methodological exploration.
  Journal of clinical epidemiology 2024 Sushil M, Butte AJ, Schuit E, van Smeden M, Leeuwenberg AM
• Topic modeling on clinical social work notes for exploring social determinants of health factors.
  JAMIA open 2024 Sun S, Zack T, Williams CYK, Sushil M, Butte AJ
• Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data.
  Journal of the American Medical Informatics Association : JAMIA 2023 Wang M, Sushil M, Miao BY, Butte AJ
• Are we there yet? Exploring clinical domain knowledge of BERT models
  Proceedings of the 20th Workshop on Biomedical Language Processing, Association for Computational Linguistics. 2021 Sushil M, Šuster S, Daelemans W
• Contextual explanation rules for neural clinical classifiers
  Proceedings of the 20th Workshop on Biomedical Language Processing, Association for Computational Linguistics 2021 Sushil M, Šuster S, Daelemans W
• Rule induction for global explanation of trained models
  Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Association for Computational Linguistics 2018 Sushil M, Šuster S, Daelemans W
• Revisiting neural relation classification in clinical notes with external information
  Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, Association for Computational Linguistics 2018 Šuster S, Sushil M, Daelemans W
• Patient representation learning and interpretable evaluation using clinical notes.
  Journal of biomedical informatics 2018 Sushil M, Šuster S, Luyckx K, Daelemans W
• Counting trees in Random Forests: Predicting symptom severity in psychiatric intake reports.
  Journal of biomedical informatics 2017 Scheurwegs E, Sushil M, Tulkens S, Daelemans W, Luyckx K