4 papers
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…