Publications citing MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context v1.0.1

Vision-language models and visual foundation models in neurosurgery
Godswill Uzoechina, Treasure Osajiuba, Elochukwu Marvellous. Discover Computer Vision, 2026. Cites: paper

Toward truly agentic radiology AI: A multimodal architecture framework and differentiated implementation roadmap
Tai-Lin Irene Lee, Vidya Sankar Viswanathan, Elias George Kikano et al. European Journal of Radiology, 2026. Cites: paper

Right Answer, Wrong Evidence: Revealing Visual Confabulation in Multi-image Medical VLMs with the Evidence Attribution Score
chidwipak kuppani, Bheemappa Halavar. Lecture notes in computer science, 2026. Cites: paper

Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification
Nan Zhou, Ke Zou, M Y Liu et al. Lecture notes in computer science, 2026. Cites: paper

From 2D Vision–Language Models to Volumetric Medical AI: Large Language Models and Foundation Models for 3D Medical Imaging
Roni Ramon‐Gonen, Haya Engelstein. Computation, 2026. Cites: paper

What a Multimodal Result Establishes: Viewpoint on Three Reporting Gaps That Current Clinical-AI Guidance Does Not Cover (Preprint)
Zixu Wang, Jiang Richard. 2026. Cites: paper

Emerging Risks of Generative AI in Healthcare: A Scientometric Analysis of Hallucinations and Medical Misinformation
Ammaji Rajitha. The International Information & Library Review, 2026. Cites: paper

Cross-modal bias in medical vision-language models: a pipeline-aware framework for mechanisms, evaluation, and mitigation
Rafid Mehda, Ramisa Anjum Oishi, Tamzid Tanvi Alam et al. Frontiers in Digital Health, 2026. Cites: paper

AI-Driven Transfer Learning for Medical Imaging and Sensor-Based Healthcare
Purshottam J. Assudani, A. Anny Leema, P. Balakrishnan et al. Archives of Computational Methods in Engineering, 2026. Cites: paper

MedMentor: Teacher-Student Collaboration with Decoupled Experience for Clinical Diagnosis
K Chen, Yang Gao. Lecture notes in computer science, 2026. Cites: paper

Addressing benchmarking gaps in large language models for health and medicine with dynamic red-teaming
Jiazhen Pan, Bailiang Jian, Paul Hager et al. Nature Health, 2026. Cites: paper

X-CapFusion: Efficient label-aware model for medical image captioning
Magda T. Amorim, Hugo S. Oliveira, Hélder P. Oliveira et al. Biomedical Signal Processing and Control, 2026. Cites: paper

A prediction model for platinum-resistant recurrence of ovarian cancer was established using multimodal artificial intelligence machine learning methods
Xuanxuan Zhao, L L Ma, Peiquan Li et al. Frontiers in Medicine, 2026. Cites: paper

Mitigating Object Hallucination in Lvlms Via Attention Imbalance Rectification
Han Sun, Qin Li, Peixin Wang et al. 2026. Cites: paper

Medical multimodal large language models: A survey
Hanguang Xiao, Ningzhi Hui, Yong Xu et al. Information Fusion, 2026. Cites: paper

NEURO-GUARD: Neuro-Symbolic Generalization and Unbiased Adaptive Routing for Diagnostics - Explainable Medical AI
Mohd Urooj, Ayan Banerjee, Sandeep Gupta. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2026. Cites: paper

Visual Large Language Models in Radiology: A Systematic Multimodel Evaluation of Diagnostic Accuracy and Hallucinations
Marc Sebastian von der Stück, Roman Vuskov, Simon D. Westfechtel et al. Life, 2026. Cites: paper

Evaluating the Reliability and Utility of GPT-4o as a Medical Expert Across Different Interaction Modes
Ufkun-Bayram Menderes, Dominik Morar, Ngoc Thang Vu. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Understanding the robustness of vision-language models to medical image artefacts
Zijie Cheng, Ariel Yuhan Ong, Siegfried K. Wagner et al. npj Digital Medicine, 2025. Cites: paper

Research on the training strategy of college students' design thinking and innovation ability based on multimodal large model
Liu Qing, Wei Xian Xue, Lingbo Meng et al. Frontiers in Education, 2025. Cites: paper

Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities
Anindya Bijoy Das, Shahnewaz Karim Sakib, Shibbir Ahmed. IEEE International Conference on Computer Vision Workshops, 2025. Cites: paper

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