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Onkar Litake

Showing results (1-10 of 7) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|April 16, 2024
Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notesOnkar Litake, Brian H Park, Jeffrey L Tully, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 16, 2024
On the development and validation of large language model-based classifiers for identifying social determinants of healthRodney A Gabriel, Onkar Litake, Sierra Simpson, et al.
Anesthesia and Analgesia|January 14, 2025
Classification of Surgical Patients Needing Preoperative Cardiac Evaluations: A Comparison of General-Purpose and Domain-Specific Large Language ModelsJeffrey L Tully, Onkar Litake, Minhthy N Meineke, et al.
Journal of Clinical Monitoring and Computing|December 24, 2025
A pre-trained language model approach for triaging surgical patients for preoperative anesthesia clinicsNicole Y Xu, Onkar Litake, Jeffrey L Tully, et al.
Journal of the American Geriatrics Society|May 15, 2025
A Large Language Model Approach to Identifying Preoperative Frailty Among Older Adults From Clinical NotesYing Qiu Zhou, Onkar Litake, Minhthy N Meineke, et al.
Scientific Reports|January 3, 2024
Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing frameworkSai Ashish Somayajula, Onkar Litake, Youwei Liang, et al.
A&A Practice|September 15, 2025
Evaluating Large Language Model Performance in Generating Clinically Relevant Intensive Care Unit Discharge SummariesSeshadri C Mudumbai, Philip Chung, Ji-Qing Chen, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of the American Medical Informatics Association : JAMIA|April 16, 2024
Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notesOnkar Litake, Brian H Park, Jeffrey L Tully, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 16, 2024
On the development and validation of large language model-based classifiers for identifying social determinants of healthRodney A Gabriel, Onkar Litake, Sierra Simpson, et al.
Anesthesia and Analgesia|January 14, 2025
Classification of Surgical Patients Needing Preoperative Cardiac Evaluations: A Comparison of General-Purpose and Domain-Specific Large Language ModelsJeffrey L Tully, Onkar Litake, Minhthy N Meineke, et al.
Journal of Clinical Monitoring and Computing|December 24, 2025
A pre-trained language model approach for triaging surgical patients for preoperative anesthesia clinicsNicole Y Xu, Onkar Litake, Jeffrey L Tully, et al.
Journal of the American Geriatrics Society|May 15, 2025
A Large Language Model Approach to Identifying Preoperative Frailty Among Older Adults From Clinical NotesYing Qiu Zhou, Onkar Litake, Minhthy N Meineke, et al.
Scientific Reports|January 3, 2024
Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing frameworkSai Ashish Somayajula, Onkar Litake, Youwei Liang, et al.
A&A Practice|September 15, 2025
Evaluating Large Language Model Performance in Generating Clinically Relevant Intensive Care Unit Discharge SummariesSeshadri C Mudumbai, Philip Chung, Ji-Qing Chen, et al.
Pageof 1