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Florent Pollet

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Preprint Oct 2026

FaceKit: a Toolkit for Interpretable Facial Phenotyping, Synthetic Image Generation and Privacy Analysis in Rare Diseases

Many rare genetic diseases are associated with recognizable craniofacial features. However, traditional approaches for describing facial morphology rely largely on qualitative clinical observation and free-text descriptions, which are often subjective, non-standardized, and difficult to reproduce across observers and i...

Hong-Zhuo Chen, Zhanliang Wang, Florent Pollet et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Rethinking How We Evaluate Methodological Progress in Health AI

It is found that aggregate pairwise comparisons transfer strongly across evaluation settings, including from randomly generated tasks to clinically meaningful tasks and across datasets, and at the same time, clinically meaningful tasks exhibit greater task-method interaction.

Florent Pollet, Matthew B. A. McDermott · 1 citation · ⚡1

Privacy Audits for Clinical Large Language Models

Verified Extraction is introduced, an auditing framework that distinguishes identifiers attributable to fine-tuning data from spurious or prior-driven outputs and quantifies recoverable leakage under explicit query budgets.

Florent Pollet, Tong Wang, Rahul Gupta et al. · 0 citations

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