MRI Clinical Reports Without Findings for Medical NLP, 13,956 Patients

A large-scale collection of MRI reports with no findings, containing data from 13,956 patients and 3,079,197 medical images. The dataset is designed to support the development and training of advanced healthcare AI, medical imaging, and diagnostic AI systems. It was authored by InfoBayAI and last updated on 2026-06-03.

Use Cases

• Training AI models for normal case identification based on radiological reports without findings.
• Pretraining medical imaging models on a large corpus of negative MRI cases.
• Validating diagnostic AI systems against a dataset of reports with no specific abnormalities.

Strengths

• Large-scale dataset with reports from 13,956 patients.
• Contains 3,079,197 associated medical images.

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 06:53:00; freshness should be verified.