InfoBayAI/echocardiography_echo_reports_clinical_nlp

Dataset Description:

This dataset is a large-scale collection of medical echocardiography (echo) reports, specifically focused on clinical findings, designed to support the development of advanced clinical NLP systems and healthcare AI models.

Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, enabling models to better understand cardiac findings and reduce errors in downstream diagnostic tasks.

Key Use Cases

-Medical text understanding and extraction
-Named entity recognition (NER) in echo reports
-Findings classification (normal vs abnormal)
-Automated report summarization
-Clinical decision support systems
-Model validation and calibration

Dataset Specification

-Modality: Echocardiography (Echo) reports
-Type: Clinical 
-Data Source: Cardiology departments and diagnostic centers
-Data Nature: Real-world clinical data
-Content: Findings section of echo reports
-Patients: 104

Value of This Dataset

-Enables learning of real cardiology reporting patterns
-Improves NLP model accuracy in clinical text understanding
-Supports classification and information extraction tasks
-Helps detect cardiac abnormalities from textual findings
-Enhances reliability of clinical AI systems
-Supports real-world healthcare and cardiology AI applications

Basic JSON Schema

{
  "patient_id": "string",
  "age": "string",
  "sex": "string",
  "diagnosis": "string",
  "advice": "string",
  "medications": "string",
  "full_text": "string",
  "findings": "string",
  "test_type": "string",
  "report_date": "string",
  "doctor_notes": "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