Multimodal Clinical Case Reports From PubMed Central

MultiCaRe is an open-source, multimodal clinical case dataset built from PubMed Central Open Access Case Report articles. It aggregates de-identified case narratives, figure images, captions, and article metadata across diverse medical specialties like radiology and pathology. The data is normalized for joining via stable IDs.

Use Cases

• Train a multimodal model to generate case narratives from figure images and their captions.
• Perform specialty classification (e.g., radiology, pathology) using article metadata and associated images.
• Analyze the relationship between figure captions and the clinical narratives within case reports.
• Build a retrieval system to find similar clinical cases based on image features and text metadata.

Strengths

• Dataset is built from the authoritative PubMed Central Open Access repository.
• Covers diverse medical specialties including radiology, pathology, surgery, and ophthalmology.
• Provides normalized, joinable data with stable IDs for images, cases, and articles.
• Dataset size is categorized as between 100,000 and 1 million entries.

Limitations

• Specific row count, column definitions, and file formats are not provided in the input.
• The geographic and temporal coverage of the aggregated case reports is unspecified.
• Potential for specialty imbalance depending on the distribution of source articles.

Provenance

Source

PubMed Central Open Access (OA) Case Report articles.

Collection Method

Aggregated and normalized from open-access case narratives, figure images, captions, and article metadata.

Freshness

Last updated on 2025-09-07.