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Dataset Description:

This dataset is a large-scale collection of X-ray (Radiography) reports without clinical findings, containing data from 74,154 patients and 171,040 medical images, designed to support the development and training of advanced healthcare AI, medical imaging, and diagnostic AI systems.

The dataset captures authentic imaging characteristics such as scanner variability, acquisition protocols, and patient positioning, along with 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) workflows, enabling models to better distinguish between normal and abnormal cases and reduce false positives.

Dataset Specification

-Modality: X-ray (Radiography)
-Type: Medical images without clinical findings 
-Data Source: Clinical X-ray reports
-Body Regions: Chest, Limbs, Spine, Abdomen, etc.
-Data Nature: Real-world clinical data
-Patients: 74,154
-Images: 171,040

Key Use Cases

-Baseline learning for diagnostic models
-False positive reduction
-Medical image segmentation 
-Clinical decision support systems
-Radiology report generation 
-Model validation and calibration

Value of This Dataset

-Improves model specificity and reduces false alarms
-Supports binary and multi-class classification tasks
-Essential for anomaly detection systems
-Helps build clinically safe AI solutions
-Supports real-world healthcare deployment

Basic JSON Schema

{
  "patient_id": "string",
  "image": "image",
  "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: datareq@infobay.ai
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