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Large Language Models as Agents in the Clinic
Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz +3
Recent developments in large language models (LLMs) have unlocked new opportunities for healthcare, from information synthesis to clinical decision support. These new LLMs are not…
CORAL: Expert-Curated medical Oncology Reports to Advance Language Model Inference
Madhumita Sushil, Vanessa E. Kennedy, Divneet Mandair +3
Both medical care and observational studies in oncology require a thorough understanding of a patient's disease progression and treatment history, often elaborately documented in c…
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback
Shenghuan Sun, Gregory M. Goldgof, Atul Butte +1
Generative models capable of capturing nuanced clinical features in medical images hold great promise for facilitating clinical data sharing, enhancing rare disease datasets, and e…
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes
Shenghuan Sun, Travis Zack, Christopher Y. K. Williams +2
We aimed to investigate the impact of social circumstances on cancer therapy selection using natural language processing to derive insights from social worker documentation. We dev…
Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine
Madhumita Sushil, Atul J. Butte, Ewoud Schuit +2
Objective: Text mining of clinical notes embedded in electronic medical records is increasingly used to extract patient characteristics otherwise not or only partly available, to a…