2 citations · 4 across the 5 of their papers we have counts for
7 papers
PAINT: A Framework for Multilingual Pain Representation from Medical Licensing Exams to Real-World Clinical Texts
Boya Zhang, Yuanchao Ma, Jiageng Wu +14
Pain is one of the most common and clinically important symptoms, reflecting disease onset, progression, and treatment response. However, pain is difficult to accurately capture an…
Loud or Silent? A Reusable Framework for Per-Modality Failure Analysis in Multimodal Clinical AI
Quang Bui, Shlok Jaiswal, Samuel Paik-Heintz +14
Multimodal clinical models are usually judged on accuracy with every modality present, but deployment removes modalities; an echocardiogram is often unavailable where an ECG is rou…
HealthContradict: Evaluating Biomedical Knowledge Conflicts in Language Models
Boya Zhang, Alban Bornet, Rui Yang +2
How do language models use contextual information to answer health questions? How are their responses impacted by conflicting contexts? We assess the ability of language models to…
Retrieval-Augmented Generation in Biomedicine: A Survey of Technologies, Datasets, and Clinical Applications
Jiawei He, Boya Zhang, Hossein Rouhizadeh +6
Large language models (LLMs) in biomedicine face a fundamental conflict between static parameter knowledge and the dynamic nature of clinical evidence. Retrieval-Augmented Generati…
An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results
Anthony Yazdani, Alban Bornet, Philipp Khlebnikov +4
Adverse drug events (ADEs) are a major safety issue in clinical trials. Thus, predicting ADEs is key to developing safer medications and enhancing patient outcomes. To support this…
DS4DH at TREC Health Misinformation 2021: Multi-Dimensional Ranking Models with Transfer Learning and Rank Fusion
Boya Zhang, Nona Naderi, Fernando Jaume-Santero +1
This paper describes the work of the Data Science for Digital Health (DS4DH) group at the TREC Health Misinformation Track 2021. The TREC Health Misinformation track focused on the…
The Choice of Knowledge Base in Automated Claim Checking
Dominik Stammbach, Boya Zhang, Elliott Ash
Automated claim checking is the task of determining the veracity of a claim given evidence found in a knowledge base of trustworthy facts. While previous work has taken the knowled…