The MultiCaRe dataset is an open-source clinical case dataset for medical image classification and multimodal AI applications, built from PubMed Central open-access case reports.

• 98,000+ de-identified clinical cases from 72,000+ PubMed Central case reports
• 139,000+ medical images across multiple specialties
• Covers diverse domains including oncology, cardiology, pathology, surgery, and more
• Image taxonomy with 140+ classes organized in a hierarchical structure with logical constraints (mutual exclusivity, subsumption, etc.)
• Fully open-source under CC0 license

The dataset contains the following data elements:

The multiversity Python library lets you create customized subsets of MultiCaRe based on filters like patient demographics, clinical keywords, image labels, and more.

pip install multiversity

from multiversity.multicare_dataset import MedicalDatasetCreator

# Load the dataset (downloads from Zenodo, takes 5–10 min)
mdc = MedicalDatasetCreator(directory='medical_datasets')

# Define filters
filters = [
    {'field': 'min_age', 'string_list': ['18']},
    {'field': 'gender', 'string_list': ['Male']},
    {'field': 'case_strings', 'string_list': ['tumor', 'cancer', 'carcinoma'], 'operator': 'any'},
    {'field': 'caption', 'string_list': ['metastasis', 'tumor', 'mass'], 'operator': 'any'},
    {'field': 'label', 'string_list': ['mri', 'head']}
]

# Create dataset (multimodal, text, image, or case_series)
mdc.create_dataset(
    dataset_name='male_brain_tumor_dataset',
    filter_list=filters,
    dataset_type='multimodal'
)

➡️ For full library documentation, visit the multiversity repository.

mdc.display_example()

This will render a sample case with its clinical narrative, image, image labels, and citation metadata.

1. 📄 Data Article (MDPI Data) — Full description of the dataset
2. 🗄️ Dataset on Zenodo — Download the data
3. 📓 Subset creation demo
4. 🖼️ Image classification demo
5. 🏷️ MultiCaRe Taxonomy

If you need to work with MultiCaRe v1.0:

from multiversity.multicare_v1 import *

If you use MultiCaRe in your work, please cite:

Data Article:

Nievas Offidani, M., Roffet, F., González Galtier, M. C., Massiris, M., & Delrieux, C. (2025).
An Open-Source Clinical Case Dataset for Medical Image Classification and Multimodal AI Applications.
Data, 10(8), 123. https://doi.org/10.3390/data10080123

Dataset (Zenodo v3):

Nievas Offidani, M. (2025). MultiCaRe: An open-source clinical case dataset for medical image
classification and multimodal AI applications (version 3) [Data set].
Zenodo. https://doi.org/10.5281/zenodo.10079369

Contributions are welcome! Feel free to open issues or submit pull requests.

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For questions or collaborations, reach out on LinkedIn.