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Dr. Maggie Chung is a radiologist who specializes in breast imaging, with the goal of diagnosing cancer as early as possible. She uses standard mammography, tomosynthesis (3D mammography), ultrasound and MRI to detect and manage breast cancer. Her expertise includes performing image-guided breast biopsies.

In research, Chung uses deep learning (a type of artificial intelligence) to improve breast cancer diagnosis and risk assessment. To improve safety and accessibility, she is also using deep learning to simulate contrast-enhanced breast MRI (in which dye is used to make abnormalities more visible).

Chung earned her medical degree at the Warren Alpert Medical School of Brown University. She completed a residency in diagnostic radiology and a fellowship in breast imaging at UCSF.

  • Board Certifications

    American Board of Radiology, Diagnostic Radiology, 2023

  • Residencies

    UCSF, Diagnostic Radiology, 2022

  • Internship

    Scripps Memorial Hospital - Chula Vista, Transitional, 2018

  • Degree

    The Warren Alpert Medical School of Brown University, 2017

  • Languages

    Chinese - Mandarin

Where I see patients (2)

    Decorative Caduceus

    Mirai-MRI: Validation of AI Models for Breast Cancer Risk

    The CDR is defined as the number of breast cancers identified per 1,000 magnetic resonance imaging (MRI) screening examinations performed 1 year following supplemental screening MRI.

    Recruiting

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