5 papers
ASTAR: Automated induction of STAndardized radiology Reporting templates from large-scale clinical free-text corpora
Xinfeng Zhang, Mingxuan Liu, Yifei Chen +9
Structured reporting converts free-text radiology narratives into queryable data keys, facilitating cohort assembly, longitudinal tracking, and training label generation for medica…
Who Fails Where? LLM and Human Error Patterns in Endometriosis Ultrasound Report Extraction
Haiyi Li, Yutong Li, Yiheng Chi +7
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…
Toward a Human-Centered AI-assisted Colonoscopy System in Australia
Hsiang-Ting Chen, Yuan Zhang, Gustavo Carneiro +1
While AI-assisted colonoscopy promises improved colorectal cancer screening, its success relies on effective integration into clinical practice, not just algorithmic accuracy. This…
Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis
Hu Wang, David Butler, Yuan Zhang +5
Endometriosis, affecting about 10% of individuals assigned female at birth, is challenging to diagnose and manage. Diagnosis typically involves the identification of various signs…
A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification
Yuan Zhang, Yutong Xie, Hu Wang +3
The efficacy of deep learning-based Computer-Aided Diagnosis (CAD) methods for skin diseases relies on analyzing multiple data modalities (i.e., clinical+dermoscopic images, and pa…