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Review Aug 2026

Volumetric Radiology AI in the Era of Multimodal Large Language Models

This Review examines volumetric foundation models, language alignment and compression strategies, and agentic systems that extend MLLMs through planning, tools, memory, and workflow interaction, and introduces a Claim-Design-Validation framework to assess whether technical, workflow, and clinical claims are matched by appropriate design and validation.

Zanting Ye, Shengyuan Liu, Xin Liu et al. · 0 citations
Open access Jul 2026

Capable language models can outgrow the benefits of collaboration

A controlled study of large language model agents across 260 configurations shows when multi-agent collaboration helps or hurts performance, and introduces a predictive model that selects the best architecture in 87% of held-out within-domain configurations.

Y. Kim, Ken Gu, Chanwoo Park et al. · 6 citations