license: cc-by-4.0
tags:
- mri
- mri-reports
- radiology-reports
- medical-reports
- medical-nlp
- healthcare-ai
- biomedical-nlp
- diagnostic-findings
- medical-imaging
- document-understanding
language:
- en
pretty_name: MRI
Dataset Description:
This dataset is a large-scale collection of 33,299 Patients MRI clinical findings and radiology reports, designed to support the development of advanced healthcare AI, clinical NLP, and medical text intelligence systems.
It consists of real-world MRI findings collected from clinical and diagnostic environments, including detailed radiology observations, examination summaries, and diagnostic interpretations generated by healthcare professionals. The dataset contains textual radiology findings only and does not include MRI images.
The dataset captures authentic medical terminology, radiology language patterns, and narrative-style reporting commonly used in clinical practice. This makes it highly valuable for building accurate, scalable, and production-ready AI systems for radiology NLP, medical report understanding, automated findings extraction, and healthcare decision support systems.
Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) workflows.
Dataset Specification
Patients: 33,299
Domain: Radiology Reports
Content: MRI findings and clinical interpretations
Data Nature: Real-world clinical narratives
Record Type: MRI radiology findings reports
Modality Reference: Magnetic Resonance Imaging (MRI)
Key Use Cases
Radiology NLP and medical text understanding
Automated MRI findings extraction
Clinical report summarization
Disease prediction and classification systems
AI-assisted radiology reporting workflows
Medical entity recognition (NER)
Healthcare analytics and reporting
Healthcare-specific LLM training
Value of This Dataset
Enables real-world clinical NLP modeling
Useful for training healthcare-specific LLMs
Helps improve automated radiology reporting systems
Ideal for medical documentation automation
Facilitates accurate medical text annotation and labeling
Basic JSON Schema
{
"id": "string",
"language": "string",
"source": "string",
"report_type": "string",
"report_text": "string",
"file_name": "string"
}
Data Creation
Procured through formal agreements and generated in the ordinary course of business.
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay.AI or contact us directly.
- Ph: (+91) 8303174762
- Email: datareq@infobay.ai