InfoBayAI/xray_clinical_reports_with_findings_medical_nlp

Dataset Description:

This dataset is a large-scale collection of X-ray (Radiography) reports with confirmed clinical findings, designed to support the development of advanced medical imaging and diagnostic AI systems.

The dataset captures authentic imaging characteristics such as scanner variability, acquisition protocols, and patient positioning, along with detailed clinical narratives. This ensures high-quality, real-world data suitable for building accurate and scalable AI systems. Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, enabling models to learn meaningful clinical patterns and improve diagnostic performance.

Key Use Cases

-Disease detection and classification
-Abnormality identification
-Fracture and lesion detection
-Medical image segmentation
-Clinical decision support systems
-Radiology report generation
-Diagnostic AI model training

Dataset Specification

-Modality: X-ray (Radiography)
-Type: Medical images with clinical findings
-Data Source: Clinical X-ray reports
-Body Regions: Chest, Limbs, Spine, Abdomen, etc.
-Data Nature: Real-world clinical data
-Patients: 3,145
-Images: 4,377

Value of This Dataset

-Enables supervised learning for disease detection
-Supports binary and multi-class classification tasks
-Improves diagnostic accuracy of AI models
-Useful for segmentation and localization tasks
-Helps build clinically relevant AI systems
-Supports real-world healthcare applications

Basic JSON Schema

{
  "patient_id": "string",
  "image": "image",
  "findings": "string",
  "view_position": "string",
  "body_part": "string",
  "sex": "string",
  "age": "string",
  "study_uid": "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