17 citations · 17 across the 5 of their papers we have counts for
8 papers
Data Provenance and Ethics in the Curricula of U.S. Health AI Education Programs
Raffaele Giancotti, Francesca Santucci, Amama Anjum +5
Failures of deployed clinical artificial intelligence (AI) systems have often originated in how their training data were generated. Whether the programs that train the health AI wo…
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…
ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs
Sebastián Andrés Cajas Ordóñez, Maximin Lange, Quang Bui +9
A radiology report can already answer a clinical question, so it is hard to tell whether a vision-language model also uses the image. ModaLens, a paired image-swap audit, measures…
Towards a Deterministic Math Solver for Clinical Language Models
Felipe Ocampo Osorio, Sebastián Andrés Cajas Ordoñez, Maximin Lange +5
Large language models are unreliable at arithmetic, which is a problem for clinical calculators where a single numerical error changes the recommendation. The standard response is…
Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems
Sebastián Andrés Cajas Ordóñez, Agastya Munnangi, Aldo Marzullo +13
Clinical decision support is moving toward committees of language-model agents deliberating on a shared workspace. We ask whether such committees can be gamed by shortcuts, cues a…
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…
Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective
David Restrepo, Chenwei Wu, Constanza Vásquez-Venegas +5
The deployment of large language models (LLMs) in healthcare has demonstrated substantial potential for enhancing clinical decision-making, administrative efficiency, and patient o…
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit
Ming Ying Yang, Gloria Hyunjung Kwak, Tom Pollard +2
Social determinants of health (SDOH) -- the conditions in which people live, grow, and age -- play a crucial role in a person's health and well-being. There is a large, compelling…