Extracting detailed oncologic history and treatment plan from medical oncology notes with large language models. - Madhumita Sushil; Vanessa E. Kennedy; Brenda Y. Miao; Divneet Mandair; Travis Zack; Atul J. Butte (CoRR, 2023)

Large Language Models as Agents in the Clinic. - Nikita Mehandru; Brenda Y. Miao; Eduardo Rodriguez Almaraz; Madhumita Sushil; Atul J. Butte; Ahmed M. Alaa (CoRR, 2023)

Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data. - Michelle Wang; Madhumita Sushil; Brenda Y. Miao; Atul J. Butte (J. Am. Medical Informatics Assoc., 2023)

Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models. - Brenda Y. Miao; Christopher Y. K. Williams; Ebenezer Chinedu-Eneh; Travis Zack; Emily Alsentzer; Atul J. Butte; Irene Y. Chen (CoRR, 2024)

Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research. - 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 (CoRR, 2024)

Evaluating large language models as agents in the clinic. - Nikita Mehandru; Brenda Y. Miao; Eduardo Rodriguez Almaraz; Madhumita Sushil; Atul J. Butte; Ahmed M. Alaa (npj Digit. Medicine, 2024)

Understanding contraceptive switching rationales from real world clinical notes using large language models. - Brenda Y. Miao; Christopher Y. K. Williams; Ebenezer Chinedu-Eneh; Travis Zack; Emily Alsentzer; Atul J. Butte; Irene Y. Chen (npj Digit. Medicine, 2025)