123 citations · 138 across the 16 of their papers we have counts for
5 papers · 1 filter
How well do routinely collected demographic and clinical variables aid point-of-care lung ultrasound TB classification
Joshua M. Jansen van Vüren, Christiaan M. Geldenhuys, Devendra S. Parihar +7
We consider the fusion of lung ultrasound images with routinely-collected clinical and demographic data for the purpose of automated tuberculosis (TB) screening using deep-learning…
Wrong Organ, Right Physics: Transferring Echocardiography Pretraining to Lung Ultrasound for Tuberculosis Screening
Christiaan M. Geldenhuys, Joshua M. Jansen van Vüren, Véronique Suttels +6
Lung ultrasound (LUS) is attractive for tuberculosis (TB) screening at primary-care level, but labelled cohorts are small. Echocardiography carries no such constraint, while sharin…
CLIMB: A Clinical Multimorbidity Benchmark for Diagnosing Co-occurring Conditions through Multiturn Conversations
Yusuf Kesmen, Aniruddha Mukherjee, Yena Chang +7
Patients often have several co-occurring clinical conditions, and the findings needed to identify and disambiguate them emerge over the course of a consultation. Evaluating clinica…
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support
Yusuf Kesmen, Fay Elhassan, Jiayi Ma +7
Large language models (LLMs) are increasingly used for conversational clinical decision support, yet they conflate next token prediction with probabilistic decision making. We argu…
Fairness-Aware Partial-label Domain Adaptation for Voice Classification of Parkinson's and ALS
Arianna Francesconi, Zhixiang Dai, Arthur Stefano Moscheni +7
Voice-based digital biomarkers can enable scalable, non-invasive screening and monitoring of Parkinson's disease (PD) and Amyotrophic Lateral Sclerosis (ALS). However, models train…