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S. Dhelim

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Review Oct 2026

Trustworthy large language models for clinical diagnosis: a medical informatics review of evidence, safety, validation, and deployment readiness.

BACKGROUND Large language models (LLMs) and multimodal foundation models are increasingly proposed for diagnostic decision support, symptom triage, report interpretation, and electronic health record (EHR)-grounded workflows. Because medical informatics is concerned with how information and communication technologies b...

Amar Singh, Ajay Singh, Shakti Kumar et al. · 0 citations
Review Aug 2026

AraMS-28k: The Largest Publicly Released Line-Level Dataset of Historical Arabic Manuscripts with Margin and Insertion-Anchor Annotations

We introduce AraMS-28k, the largest publicly released line-level dataset of genuine historical Arabic manuscripts, comprising 14 books, 3,043 pages, and 28,600 annotated text lines (27,971 main-text, 629 margin). Thirteen books are hand-copied manuscripts spanning three script traditions -- Naskh, Ruq'ah, and Maghrebi...

Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib et al. · 1 citation · ⚡1
Preprint Aug 2026

Auditing Medical Vision-Language Models on Chest Radiographs: Estimating Reference Agreement Across Institutions

Three generative vision-language models were evaluated on three institutional chest-radiograph corpora and six findings under two elicitation protocols, comprising more than 345,000 finding-level predictions, and estimated finding-by-direction reference agreement at a receiving institution from a small budget of local...

Peng-Yang Yu, Yio Wang, Zhong-Ping Dong et al. · 0 citations
Review Aug 2026

RefLAM: A Reference-Grounded Line Annotation Pipeline for Historical Arabic Manuscripts

RefLAM (Reference-grounded Line Annotation for Manuscripts), a pipeline converting manuscript page images and clean transcriptions into validated, line-level ground truth without sacrificing human oversight, is presented, with CER results confirming its practical utility for downstream HTR training.

Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib et al. · 1 citation · ⚡1
Review Open access Jul 2026

Fairness in federated medical imaging: a systematic review through the dual fairness lens

This constitutes the first systematic review to formally analyze the gradient-level conflict between collaboration fairness and group fairness in federated medical imaging, while also providing a structured causal analysis of equipment–demographic confounding, offering both a critical synthesis and actionable direction...

Pengyang Yu, Zhongping Dong, S. Dhelim et al. · 0 citations

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