• ​The University of Jordan offers many resources to its researchers. For example, AIMeD can benefit from the specialized AI labs at the King Abdullah II School of Information Technology (KASIT) or at the School of Engineering, which are fully equipped with the latest hardware and software. 
  
• The digital libraries offer a wide range of latest research from reputable publishers. 
  
• Electronic Health Solutions (EHS) Company is strongly represented in the research group. This gives the research group access to many data from the ministry of health, pending IRB approval. There are 1.2 billion records in EHS company.
  
• The University of Jordan Hospital is a rich source of medical and dentistry data.
  
• Additionally, many AIMeD members are also members of IEEE which gives them access to many local, regional and international resources.
  

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Some generic resources , covering tools, datasets, literature, funding, and collaboration possibilities:

1. Research Datasets

Needed for training and validating AI models:

• PhysioNet – Open-access physiological signals (ECG, EEG, etc.)
  https://physionet.org

• NIH Chest X-rays – 100,000+ labeled chest X-rays
  https://nihcc.app.box.com/v/ChestXray-NIHCC

• MURA Dataset (Stanford) – Musculoskeletal radiographs
  https://stanfordmlgroup.github.io/competitions/mura/

• Dental X-ray Datasets – e.g., panoramic datasets from Kaggle

2. Open-Access Journals and Libraries

Support literature review and publication efforts:

• PubMed Central (PMC) – Free access to biomedical and life sciences journal articles
  https://www.ncbi.nlm.nih.gov/pmc/

• arXiv – AI and Medicine Sections
  https://arxiv.org/list/cs.AI/recent

• Springer AI in Healthcare Collection
  https://link.springer.com
  

3. AI Development Tools

Useful for modeling, visualization, and simulation:

• Google Colab / Jupyter Notebooks – Cloud-based Python coding
  https://colab.research.google.com

• MONAI (Medical Open Network for AI) – Specialized for medical imaging
  https://monai.io
  

• SimpleITK and ITK-SNAP – Visualization and segmentation tools
  https://simpleitk.readthedocs.io

• 3D Slicer – Open-source platform for biomedical research
  https://www.slicer.org

4. Collaborative and Networking Platforms

For team work and international exposure:

• ResearchGate – Profile your work, find collaborators
  https://www.researchgate.net

• Zotero / Mendeley – Group literature management and collaboration
  https://www.zotero.org | https://www.mendeley.com
  

​​ 5. Funding & Grant Opportunities

Sources for supporting research:

• Horizon Europe (EU) – Health and digital tech grants
  https://ec.europa.eu/programmes/horizon2020

• NIH BRAIN Initiative / NIBIB – U.S. government biomedical AI research
  https://braininitiative.nih.gov/

• IEEE SIGHT and IEEE Foundation – Project-based AI funding for health impact
  https://sight.ieee.org