InfoBayAI/mri_clinical_reports_without_findings_medical_nlp

Dataset Description:

This dataset is a large-scale collection of MRI (Magnetic Resonance Imaging) reports with no findings, designed to support the development of medical imaging and AI systems.

It consists of MRI data where the radiological reports do not include any specific findings. These cases are useful for building AI systems for training, pretraining, and model validation workflows. The dataset captures real-world imaging characteristics such as scanner variability, acquisition protocols, and patient positioning, while ensuring that all included samples have reports with no findings recorded. Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT), Self-Supervised Learning (SSL), and Reinforcement Learning with Human Feedback (RLHF) workflows.

Key Use Cases

-Baseline model training for MRI image analysis
-Anomaly detection pretraining
-Reducing model bias in medical AI
-Medical imaging benchmarking
-Quality control and validation systems
-Clinical AI calibration

Dataset Specification

-Modality: MRI (Magnetic Resonance Imaging)
-Type: Medical images with no findings
-Data Source: Clinical MRI reports
-Body Regions: Brain, Spine, Abdomen, etc.
-Data Nature: Real-world clinical data
-Patients: 3,158
-Images: 720,280

Value of This Dataset

-Provides high-quality MRI data with no findings
-Supports model pretraining and evaluation
-Useful for training robust diagnostic AI
-Facilitates unbiased learning for anomaly detection
-Helps in clinical validation workflows

Basic JSON Schema

{
  "patient_id": {
    "type": "string"
  },
  "image": {
    "type": "image"
  },
  "slice_index": {
    "type": "integer"
  },
  "modality": {
    "type": "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: vipul@infobay.ai