activity
20232026
most citedEvaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit

17 citations · 17 across the 5 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CY2026

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…

cs.CL2026

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…

cs.CV2026

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…

cs.AI2026

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…

cs.AI2026

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…

cs.AI2026

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…