Xray OPG Reports Without Findings: 970 Patient Records for Clinical NLP

970 patient OPG X-ray reports without clinical findings support training diagnostic AI systems. The dataset captures authentic imaging characteristics like scanner variability and patient positioning. Created by InfoBayAI, it was last updated on June 3, 2026.

Use Cases

• Train models to identify normal OPG X-rays based on the described clinical narratives.
• Develop NLP systems for parsing and classifying radiology reports without findings.
• Benchmark medical imaging AI on data capturing scanner and protocol variability.
• Create synthetic data augmentation pipelines for healthcare AI using negative-case reports.

Strengths

• Contains data from 970 distinct patients and 970 medical images.
• Designed to capture authentic clinical and imaging characteristics like scanner variability.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-06-03 06:46:12; freshness should be verified.

Provenance

Source

InfoBayAI via Hugging Face

Collection Method

Collection of OPG (Orthopantomogram) X-ray reports.

Freshness

Last updated 2026-06-03 06:46:12.