# Neuro-VL

Neuro-VL is a vision-language model trained on nearly one million routine clinical neuroimaging studies that can localize, describe, diagnose and report on complete examinations and discuss its findings in natural language. On NeuroBench, built from internal studies and 24 international public datasets, it outperformed GPT-5.4 and Gemma 4 on 16 of 17 task-group combinations and the neuroradiology-specialized NeuroVFM on all 17, leading by 15.9, 16.9 and 23.0 percentage points when averaged equally across combinations. A further-tuned longitudinal version compares prior and current studies, and the model resisted misleading diagnostic or localization prompts more reliably than GPT-5.4.

Neuro-VL is a vision-language model trained on nearly one million routine clinical neuroimaging studies that can localize, describe, diagnose and report on complete examinations and discuss its findings in natural language. On NeuroBench, built from internal studies and 24 international public datasets, it outperformed GPT-5.4 and Gemma 4 on 16 of 17 task-group combinations and the neuroradiology-specialized NeuroVFM on all 17, leading by 15.9, 16.9 and 23.0 percentage points when averaged equally across combinations. A further-tuned longitudinal version compares prior and current studies, and the model resisted misleading diagnostic or localization prompts more reliably than GPT-5.4.