InfoBayAI/CT-Scan-Radiology-Reports-Without-Findings-Dataset

Dataset Description:

This dataset is a large-scale collection of CT (Computed Tomography) scan reports without clinical findings, containing data from 32,631 patients and 7,946,296 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 structured and unstructured clinical narratives. This makes it highly valuable for building accurate, scalable, and production-ready AI systems. Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) workflows, especially for enhancing model sensitivity and calibration.

Dataset Specification

-Patients: 32,631
-Images: 7,946,296
-Modality: CT (Computed Tomography)
-Type: Medical images without clinical findings 
-Data Source: Clinical CT scan reports
-Body Regions: Brain, Chest, Abdomen, Spine, etc.
-Data Nature: Real-world clinical data

Key Use Cases

-Baseline learning for diagnostic AI models
-False positive reduction
-Medical image segmentation 
-Radiology report generation 
-Model validation and calibration

Value of This Dataset

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

Basic JSON Schema

{
  "patient_id": "string",
  "image": "image",
  "series_number": "string",
  "study_uid": "string",
  "series_uid": "string",
  "instance_number": "int32",
}

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