Article

A Multimodal Vision-text AI Copilot for Brain Disease Diagnosis and Medical Imaging

2025-01-10

Abstract excerpt

Integrating non-invasive brain imaging techniques, particularly computed tomography (CT) and magnetic resonance imaging (MRI), coupled with the advancement of artificial intelligence, is forging a key pathway for brain disease diagnosis, playing a vital role in safeguarding human health 1–4 . A robust artificial intelligence copilot is essential for clinical emergencies, functioning as the central processing unit...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f32e5782-d482-5c61-8367-19dbafae8d1d
DOI: 10.1101/2025.01.09.25320293

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Multimodal Vision-text AI Copilot for Brain Disease Diagnosis and Medical ImagingDOI 10.1101/2025.01.09.25320293Read

Comparative Analysis of GPT-4Vision, GPT-4 and Open Source LLMs in Clinical Diagnostic Accuracy: A Benchmark Against Human ExpertiseSemantic proximity Read

Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report GenerationSemantic proximity Read

Vision-language framework for multi-sequence brain magnetic resonance imagingSemantic proximity Read

CMANet: Cross-Modal Attention Network for 3-D Knee MRI and Report-Guided Osteoarthritis AssessmentSemantic proximity Read

Bridging Medical Imaging and Reports:Learning Radiologist's Nuances via Fine-Grained Multi-Modal AlignmentSemantic proximity Read

Leveraging Language Models for Automated Label Generation in Traumatic Brain Injury Radiology ReportsSemantic proximity Read

Bias-constrained multimodal intelligence for equitable and reliable clinical AISemantic proximity Read

A multi-agent system for spine MRI report generation from multi-sequence imagingSemantic proximity Read

A multimodal foundation model for emergency head CT interpretationSemantic proximity Read

Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed TomographySemantic proximity Read

Health system learning achieves generalist neuroimaging modelsSemantic proximity Read

Multi-Modal Contextual Reasoning for Neurological Disease Diagnosis with Vision-Language-Tabular TransformersSemantic proximity Read