activity
20222026
most citedOn the Wasserstein median of probability measures

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

A safety-oriented hypothetico-deductive framework for AI-assisted differential diagnosis

Fan Ma, Mauro Giuffrè, Donald Wright +12

Diagnostic error is a major threat to patient safety, yet current large language model (LLM) systems often treat diagnosis as a one-shot prediction task, lacking safeguards against…

stat.CO2026

Fast Computation of Free-Support Wasserstein Medians

Kisung You, Mauro Giuffré, Dennis Shung

The Wasserstein median is a robust alternative to the Wasserstein barycenter for averaging probability measures, but exact empirical computation can be expensive. A natural metric-…

cs.AI2026

Foundation Models to Unlock Real-World Evidence from Nationwide Medical Claims

Fan Ma, Yuntian Liu, Xiang Lan +22

Evidence derived from large-scale real-world data (RWD) is increasingly informing regulatory evaluation and healthcare decision-making. Administrative claims provide population-sca…

cs.HC2023★ 4 cited

Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk

Colleen Chan, Kisung You, Sunny Chung +10

Applications of large language models (LLMs) like ChatGPT have potential to enhance clinical decision support through conversational interfaces. However, challenges of human-algori…

stat.ME2022★ 6 cited

On the Wasserstein median of probability measures

Kisung You, Dennis Shung, Mauro Giuffrè

The primary choice to summarize a finite collection of random objects is by using measures of central tendency, such as mean and median. In the field of optimal transport, the Wass…