| --- |
| license: cc-by-4.0 |
| tags: |
| - ct-scan-reports |
| - ct-findings |
| - radiology-reports |
| - medical-reports |
| - medical-nlp |
| - healthcare-ai |
| - biomedical-nlp |
| - diagnostic-findings |
| - medical-imaging |
| - document-understanding |
| language: |
| - en |
| pretty_name: CT Scan |
| --- |
| |
| # Dataset Description: |
|
|
| **This dataset is a large-scale collection of CT (Computed Tomography) reports containing only clinical findings, containing data from 36,556 patients, designed to support the development and training of advanced healthcare AI, diagnostic AI, medical analytics, and clinical NLP systems.** |
|
|
| It consists of real-world CT scan 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 medical 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: 36,556 |
| Domain: Radiology Reports |
| Content: CT scan findings and clinical interpretations |
| Data Nature: Real-world clinical narratives |
| Record Type: CT radiology findings reports |
| Modality Reference: Computed Tomography (CT) |
| |
| --- |
| # Key Use Cases |
|
|
| Radiology NLP and medical text understanding |
| Automated CT 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 |
|
|
| ```json |
| { |
| "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](https://infobay.ai/) or contact us directly. |
|
|
| - Ph: (+91) 8303174762 |
| - Email: datareq@infobay.ai |
