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Jinman Kim

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Open access Oct 2026

Periodontitis Risk Assessment and Prevention Planning: Comparative Study of Multimodal Large Language Models and Periodontist Evaluations

Abstract Background Periodontitis is one of the most prevalent yet preventable oral diseases, as indicated by multiple clinical and radiographic factors. As these factors are recorded in electronic health records (EHRs), their reuse offers opportunities for personalized risk assessment and targeted prevention. Predicti...

L. Swinckels, Katharina Alves Rabelo, Eduardo Delamare et al. · 0 citations
Review Sep 2026

MARC: Morphology-Aware Regression of Consensus for Cell Segmentation in Subcellular Spatial Transcriptomics

Accurate cell segmentation remains a major bottleneck in subcellular spatial transcriptomics (SST), in which morphological images and spatially resolved RNA transcripts are used to partition tissues into individual cellular instances. As segmentation serves as the foundation for constructing cell-level representations,...

Xing-Yu Shu, Andrew Zhang, J. Yang et al. · 0 citations
Review Open access Jul 2026

A scoping review of explainable artificial intelligence for medical multimodal data.

Suggestions are provided for the field to transition from individual and post-hoc XAIs toward intrinsically explainable designs where the reasoning logic is built directly into the model architecture to ensure that AI outputs align with human-centric clinical workflows and applications.

Kai Hu, Xing-Yue Fu, Yupeng Zhang et al. · 0 citations
Open access Jul 2026

Prediction of incident atrial fibrillation from retinal fundus images using a multimodal foundation model.

The RetiAF score demonstrated a robust performance across multi-ethnic, multi-center datasets, and the potentials of non-invasive retinal imaging as a scalable tool for AF and cardiovascular risk assessment, offering a promising alternative for large-scale screenings and personalized interventions.

Yupeng Xu, Yige Peng, Yan Jiang et al. · 0 citations

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