Yiheng Chi

No ORCID on file · 3 papers in corpus
2026
Evaluating local large language models for structured extraction from endometriosis-specific transvaginal ultrasound reports

In this study, we evaluate a locally-deployed large-language model (LLM) to convert unstructured endometriosis transvaginal ultrasound (eTVUS) scan reports into structured data for imaging informatics workflows. Across 49 eTVUS reports, we …

2026
Who Fails Where? LLM and Human Error Patterns in Endometriosis Ultrasound Report Extraction
·doi:10.48550/arxiv.2601.09053

In this study, we evaluate a locally-deployed large-language model (LLM) to convert unstructured endometriosis transvaginal ultrasound (eTVUS) scan reports into structured data for imaging informatics workflows. Across 49 eTVUS reports, we …

2026
Who Fails Where? LLM and Human Error Patterns in Endometriosis Ultrasound Report Extraction
·doi:10.1145/3772363.3798872

In this study, we evaluate locally deployed large language models (LLMs) for converting unstructured endometriosis transvaginal ultrasound (eTVUS) reports into structured data. Across 49 de-identified reports, we compared three on-premise L…