activity
20192026
most citedA Study of Generative Large Language Model for Medical Research and Healthcare

400 citations · 462 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer

Mengxian Lyu, Cheng Peng, Tim Jang +18

Treatment planning in precision oncology requires synthesizing heterogeneous patient information with rapidly evolving clinical guidelines to ensure guideline-concordant care. Whil…

cs.CL2023★ 400 cited

A Study of Generative Large Language Model for Medical Research and Healthcare

Cheng Peng, Xi Yang, Aokun Chen +16

There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT. This s…

cs.CL2022★ 53 cited

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

Xi Yang, Aokun Chen, Nima PourNejatian +15

There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powe…

cs.CY2019★ 1 cited

Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension

Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert +12

To test the hypothesis that accuracy, discrimination, and precision in predicting postoperative complications improve when using both preoperative and intraoperative data input fea…

stat.AP2019★ 8 cited

Development and validation of computable Phenotype to Identify and Characterize Kidney Health in Adult Hospitalized Patients

Tezcan Ozrazgat-Baslanti, Amir Motaei, Rubab Islam +7

Background: Acute kidney injury (AKI) is a common complication in hospitalized patients and a common cause for chronic kidney disease (CKD) and increased hospital cost and mortalit…