This dataset consists of a total of 300 cardiac ultrasound (echocardiography) cases, including a balanced mix of normal and abnormal studies. The data is provided in de-identified DICOM format, each paired with corresponding clinical reports. The dataset is designed to represent real-world cardiac imaging scenarios, covering a variety of heart conditions along with normal baseline cases for comparison.
| Name | Type | Nullable | Description |
|---|---|---|---|
| Unique identifier | String | No | Unique identifier for each image or video series within a study.Clinical echocardiography report containing findings, impressions, and measurements. |
Total Cases: 300 Data Type: Cardiac ultrasound (DICOM images/videos) + clinical reports Distribution: Mix of normal and abnormal cases Data Nature: Real-world, unannotated clinical data Privacy: Fully de-identified and compliant
The dataset is designed to maintain clinical authenticity, consistency, and usability for AI training, while preserving real-world medical data characteristics.
Train models using: Echo images/videos (ultrasound) Corresponding cardiology reports
This dataset contains a curated collection of high-resolution chest X-ray (CXR) images designed for training, validating, and benchmarking AI models in medical imaging and diagnostic applications.
License: Consent upon request — This dataset is licensed for use by the purchasing entity. Refer to the specific license terms for permitted use.
Access Control: Download links are time-limited and single-use. All access is logged for audit purposes.