| --- |
| 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. |
|
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| 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. |
|
|
| --- |
|
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| # 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) |
| |
| --- |
|
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| # 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 |
| |
|
|
| --- |
|
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| # Value of This Dataset |
|
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| 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 |
|
|
| ```json |
| { |
| "id": "string", |
| "language": "string", |
| "source": "string", |
| "report_type": "string", |
| "report_text": "string", |
| "file_name": "string" |
| } |
| ``` |
|
|
| --- |
|
|
| # Data Creation |
|
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| 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](https://infobay.ai/) or contact us directly. |
|
|
| - Ph: (+91) 8303174762 |
| - Email: datareq@infobay.ai |
