Our Medical Health Imagery Dataset is a curated collection of anonymized medical images that reflect real-world clinical contexts from across India. This dataset is designed to support the development and benchmarking of AI-powered diagnosis-support systems and vision-language models in the healthcare domain.

The dataset includes X-rays, MRIs and CT scans, accompanied by metadata such as patient demographics (where available), clinical findings, and multilingual annotations. It captures the unique challenges and presentation patterns specific to Indian healthcare settings. Customization options are available to align the dataset with your specific diagnostic or research objectives, making it a valuable resource for training culturally and clinically grounded healthcare models.

Sample Data

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Category: X-ray

Sample Transcription

{
  "filename": "image_001.dcm",
  "patient_id": "PAT250316",
  "patient_age": "052D",
  "patient_sex": "M",
  "patient_birth_date": "20250316",
  "study_date": "20250507",
  "view_position": "AP"
  "modality": "CR",
  "report": {
    "text": "Faint patches of nodular infiltration are seen in the bilateral upper and mid zones — Infective pathology. Heart size and configuration normal. No mediastinal widening is seen. No hilar lymphadenopathy is seen. No intraparenchymal is seen."
  }
}