1 citations · 1 across the 3 of their papers we have counts for
5 papers
Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale
Jinghui Liu, Sarvesh Soni, Anthony Nguyen
Large language models (LLMs) can generate or synthesize clinical text for a wide range of applications, from improving clinical documentation to augmenting clinical text analytics.…
Bridging the Version Gap: Multi-version Training Improves ICD Code Prediction, Especially for Rare Codes
Jinghui Liu, Anthony Nguyen
Clinical coding maps clinical documentation to standardized medical codes, an essential yet time-consuming administrative task that could benefit from automation. Current models on…
Rephrasing Electronic Health Records for Pretraining Clinical Language Models
Jinghui Liu, Anthony Nguyen
Clinical language models are important for many applications in healthcare, but their development depends on access to extensive clinical text for pretraining. However, obtaining c…
e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation
Aaron Nicolson, Jinghui Liu, Jason Dowling +2
The Shared Task on Large-Scale Radiology Report Generation (RRG24) aims to expedite the development of assistive systems for interpreting and reporting on chest X-ray (CXR) images.…
e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models
Jinghui Liu, Aaron Nicolson, Jason Dowling +2
Clinical documentation is an important aspect of clinicians' daily work and often demands a significant amount of time. The BioNLP 2024 Shared Task on Streamlining Discharge Docume…