48 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université de BordeauxFR5 papers
- Bordeaux Population HealthFR4 papers
- Centre Hospitalier Universitaire de BordeauxFR4 papers
- Sorbonne UniversitéFR2 papers
- Boston Children's HospitalUS1 paper
- Brigham and Women's HospitalUS1 paper
- Brown UniversityUS1 paper
- Centre Hospitalier Régional et Universitaire de NancyFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Columbia UniversityUS1 paper
- CRANFR1 paper
- Duke UniversityUS1 paper
7 papers
Auditing Sex/Gender Disparities in Emergency Triage with LLM-based Paired Comparisons
Ariel Guerra-Adames, Marta Avalos-Fernandez, Océane Dorémus +3
We present a domain-agnostic paired-comparison approach that uses Large Language Models (LLMs) to quantify sex/gender-related asymmetries in documented clinical decision-making. Th…
Constrained Pareto Set Identification with Bandit Feedback
Cyrille Kone, Emilie Kaufmann, Laura Richert
In this paper, we address the problem of identifying the Pareto Set under feasibility constraints in a multivariate bandit setting. Specifically, given a -armed bandit with unkn…
Representation learning to advance multi-institutional studies with electronic health record data from US and France
Doudou Zhou, Han Tong, Linshanshan Wang +21
The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data acro…
EMMI -- Empathic Multimodal Motivational Interviews Dataset: Analyses and Annotations
Lucie Galland, Catherine Pelachaud, Florian Pecune
The study of multimodal interaction in therapy can yield a comprehensive understanding of therapist and patient behavior that can be used to develop a multimodal virtual agent supp…
Deep morphological recognition of kidney stones using intra-operative endoscopic digital videos
Vincent Estrade, Michel Daudon, Emmanuel Richard +5
The collection and the analysis of kidney stone morphological criteria are essential for an aetiological diagnosis of stone disease. However, in-situ LASER-based fragmentation of u…
Assessing deep learning methods for the identification of kidney stones in endoscopic images
Francisco Lopez, Andres Varela, Oscar Hinojosa +8
Knowing the type (i.e., the biochemical composition) of kidney stones is crucial to prevent relapses with an appropriate treatment. During ureteroscopies, kidney stones are fragmen…
Pre-training A Neural Language Model Improves The Sample Efficiency of an Emergency Room Classification Model
Binbin Xu, Cédric Gil-Jardiné, Frantz Thiessard +3
To build a French national electronic injury surveillance system based on emergency room visits, we aim to develop a coding system to classify their causes from clinical notes in f…