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INFORMATION FOR

Irene Dixe de Oliveira Santo, MD

Hospital Resident

Contact Information

Irene Dixe de Oliveira Santo, MD

Biography

Irene was born and raised in Leiria, Portugal until the age of 18, at which point she moved to Czech Republic on her own for a 6-year medical school program at Charles University in Prague. There she discovered her interest for education after she was invited to teach microbiology and histology by her professors, which she did for the following 2 years.

During her fourth year of medical school, she was awarded a travel grant to rotate in a small hospital in Croatia which further fueled her interest in global health. She became enthusiastic about health care disparities and differences in medical education across the globe. She was then fortunate to rotate in hospitals in England, Portugal, Mexico, Czech Republic, and the USA.

She graduated Summa Cum Laude and worked in Portugal for a short period of time before applying for residency in the USA. In 2020, she moved to Chicago for her Transitional Year Internship, and in 2021 she joined the radiology program at Yale, where she is currently an integrated interventional and diagnostic resident.

Her research interests include but are not limited to global health, artificial intelligence, and interventional radiology. She has also been involved in several quality improvement and educational projects throughout the years. In her free time, she enjoys reading, traveling, hiking, running, dancing, painting, and cooking.

Education & Training

  • Transitional Year Resident
    Weiss Memorial Hospital (2021)
  • MD
    Charles University (2017)

Activities

  • Creation and Implementation of a PACS-integrated VASARI feature classification tool.
    Napili-Honokowai, HI, United States 2022
    American Society of Functional Neuroradiology 2022
  • Applying a Glioma-Trained Deep Learning Automatic 3D Segmentation Algorithm for Primary CNS Lymphoma Segmentation - Preliminary Results.
    Kissimmee, FL, United States 2022
    SIIM (Society for Imaging Informatics in Medicine)
  • Applying a Glioma-Trained Deep Learning Automatic 3D Segmentation Algorithm for Primary CNS Lymphoma Segmentation - Preliminary Results
    New York, NY, United States 2022
    ASNR Annual Meeting 2022
  • Comparing Deep Learning and Classical Machine Learning Methods For Differentiating Primary CNS Lymphomas From Gliomas - A Systematic Review
    Seattle, WA, United States 2022
    AAN Annual Meeting 2022

Honors & Recognition

AwardAwarding OrganizationDate
Residents' Resident Award2022
Summa Cum LaudeCharles University2017
Top 10% International Medical Student AwardCharles University2015
Top 10% International Medical Student AwardCharles University2014
Top 10% International Medical Student AwardCharles University in Prague2007