NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological Disorders

20260 citationsPreprintgreen Open Access

Authors

Katarina Trojachanec Dineva · Ss. Cyril and Methodius University in Skopje

Stefan Andonov · Ss. Cyril and Methodius University in Skopje

Ilinka Ivanoska · Ss. Cyril and Methodius University in Skopje

Ivan Kitanovski · Ss. Cyril and Methodius University in Skopje

Sasho Gramatikov · Ss. Cyril and Methodius University in Skopje

Tamara Kostova · Ss. Cyril and Methodius University in Skopje

Abstract

This preprint presents a research study currently under peer review. It outlines the proposed methodological framework, experimental setup, and evaluation results. Subsequent versions may incorporate revisions following the peer-review process.

Topics & Keywords

Machine Learning in Healthcare Multimodal Machine Learning Applications Genomics and Rare Diseases

UN Sustainable Development Goals

Quality Education

Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19183508