"medical visual question answering" Papers

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3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks

Xiaotang Gai, Jiaxiang Liu, Yichen Li et al.

NEURIPS 2025oralarXiv:2506.11147

ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models

Duy M. H. Nguyen, Nghiem Diep, Trung Nguyen et al.

NEURIPS 2025arXiv:2410.02615

MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks

Yinghao Zhu, Ziyi He, Haoran Hu et al.

NEURIPS 2025arXiv:2505.12371

MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models

Mohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi et al.

ICLR 2025arXiv:2409.15477

SMMILE: An expert-driven benchmark for multimodal medical in-context learning

Melanie Rieff, Maya Varma, Ossian Rabow et al.

NEURIPS 2025arXiv:2506.21355

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models

Xiao Liang, Di Wang, Zhicheng Jiao et al.

ICCV 2025arXiv:2507.09209

Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA

Zhongze Wu, Hongyan Xu, Yitian Long et al.