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Probing, Fusion, and Trustworthiness: A Systematic Evaluation of Foundation Mode

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1 SIGNALFIRST DETECTED 18 June 2026
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16 Jun
Fusion is not one-size-fits-all: Cross-Modal Representation Alignment for Time-to-Event Modeling

arXiv:2606.15038v1 Announce Type: new Abstract: Accurate time-to-event (TTE) prediction from multimodal clinical data remains challenging due to modality imbalance and

REPORT · WHAT · ArXiv CS.AIOPEN STORY
12 May
Measuring What Matters: Benchmarking Generative, Multimodal, and Agentic AI in Healthcare

arXiv:2605.08445v1 Announce Type: new Abstract: AI models are increasingly deployed in live clinical environments where they must perform reliably across complex, high-stakes

REPORT · WHERE · ArXiv CS.AIOPEN STORY
27 Mar
Fusion Learning from Dynamic Functional Connectivity: Combining the Amplitude and Phase of fMRI Signals to Identify Brain Disorders

arXiv:2603.24603v1 Announce Type: cross Abstract: Dynamic functional connectivity (dFC) derived from resting-state functional magnetic resonance imaging (fMRI) has been

REPORT · HOW · ArXiv CS.AIOPEN STORY
20 Mar
Understanding Task Aggregation for Generalizable Ultrasound Foundation Models

arXiv:2603.18123v1 Announce Type: cross Abstract: Foundation models promise to unify multiple clinical tasks within a single framework, but recent ultrasound studies report that

REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report

arXiv:2603.18089v1 Announce Type: cross Abstract: Computational pathology has made significant progress in recent years, fueling advances in both fundamental disease understanding

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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