metadata
annotations_creators:
- synthetic
language:
- en
license: apache-2.0
multilinguality:
- monolingual
pretty_name: Myelography Imaging
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- named-entity-recognition
- news-articles-summarization
Myelography Imaging
Dataset Description
This dataset consists of 750 synthetic myelography examination records representing a wide spectrum of spinal pathologies and patient experiences. Each record includes:
- Patient demographics: Age and sex.
- Clinical symptoms prompting the procedure: Detailed and verbose descriptions.
- Procedural details: Contrast medium type, injection site, and imaging modality used.
- Verbose findings: Observations such as spinal cord compression, herniated discs, tumors, and spinal stenosis.
- Complications encountered: Any issues arising during or after the procedure.
- Follow-up recommendations: Suggested next steps, including surgical consultation, physical therapy, or additional imaging.
Example Data
| Age | Sex | Clinical Symptoms | Contrast Medium Type | Injection Site | Imaging Modality | Findings | Complications | Follow-up Recommendations |
|---|---|---|---|---|---|---|---|---|
| 45 | Male | Chronic lower back pain with radiating leg pain | Iodinated contrast | Lumbar spine | X-ray | Large herniated disc at L4-L5 | No complications | Referral to neurosurgery for evaluation |
| 60 | Female | Acute onset lower limb weakness post-trauma | Gadolinium-based contrast | Cervical spine | MRI | Severe spinal cord compression | Localized discomfort at injection site | Follow-up imaging with enhanced MRI |
Intended Use
This dataset is intended for educational, research, and development purposes, including:
- Training and benchmarking in natural language processing (NLP) tasks.
- Developing tools for medical image analysis and clinical decision support systems.
- Conducting exploratory data analysis in synthetic medical datasets.
Limitations
This dataset is entirely synthetic and does not contain real patient data. It should not be used for diagnostic purposes. The findings and follow-up recommendations are simulated and may not encompass the full complexity of real-world scenarios.
License
This dataset is distributed under the Apache 2.0 License.