X-ray OPG Dental Radiology Reports Without Findings, 970 Patient Images

A collection of 970 OPG (Orthopantomogram) X-ray reports without clinical findings, designed to support healthcare AI and medical imaging systems. The dataset captures authentic imaging characteristics such as scanner variability and acquisition protocols. It was created by InfoBayAI and last updated in June 2026.

Use Cases

• Training medical imaging AI models based on the described authentic imaging characteristics like scanner variability.
• Developing clinical NLP systems for radiology reports based on the included clinical narratives.
• Benchmarking anomaly detection algorithms on X-ray images reported as having no findings.
• Studying dataset bias in healthcare AI using the described patient positioning and acquisition protocol variability.

Strengths

• Contains data from 970 patients and 970 medical images, providing a specific scale.
• Designed to capture authentic imaging characteristics like scanner variability and acquisition protocols.
• Explicitly intended for training advanced healthcare AI, medical imaging, and clinical NLP systems.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

InfoBayAI

Freshness

Last updated 2026-06-03 12:00:09; freshness should be verified.