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Matthew B. Morgan
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Matthew B. Morgan, MD, MS

Languages spoken: English, Spanish

Clinical Locations

South Jordan Health Center

South Jordan
801-213-4500

Sugar House Health Center

Salt Lake City
801-581-2000

University of Utah Hospital

Radiology
Salt Lake City
801-581-5496
  • As a radiologist, I’m like a detective with X-ray vision—I use imaging technology to look for clues inside the body to figure out why someone is not feeling well. The clues I find help solve the mystery of illness and play an important part in guiding treatment.

    I specialize in breast imaging and use different types of exams such as mammograms, ultrasounds, MRI, and PET/CT scans to detect disease. My patients include women having an annual screening mammogram and those who are in various stages of care for breast cancer. I see women who have a family history of breast cancer and are at higher risk, those who already have breast cancer to prepare for or monitor treatment, and those who have benign breast conditions.

    Very often, I may be the first breast cancer specialist a person meets. As part of the breast care team, I educate and guide my patients through imaging options based on their personal and family medical history. I also refer them to genetic counselors and oncologists, so they can learn more about their risk factors and treatment options. To help reduce anxiety, I take the time to explain the imaging findings and possible next steps. If I see something suspicious or unusual on an exam, I perform a biopsy. I also specialize in procedures localizations to mark the location of a breast tumor or abnormal tissue, which helps surgeons to tailor their surgical approach.

    At the University of Utah/Huntsman Cancer Hospital, we offer the latest technologies to all our patients. This includes digital breast tomosynthesis, an advanced three-dimensional technology that helps improve our ability to detect breast cancer. We also use breast MRI to screen high-risk women and to evaluate how much disease is present in patients with cancer.

    I am currently involved in researching how artificial intelligence can be used as a support tool to improve breast cancer detection. I serve as the Medical Director of Breast Imaging IT and Innovation and as the Fellowship Director of Breast Imaging training.

    I am a member of the Radiological Society of North America and serve as a member of the Informatics Committee, which helps to create methods and tools for radiologists to do their work more efficiently and effectively.

    Board Certification

    American Board of Radiology (Diagnostic Radiology)
  • As a radiologist, I’m like a detective with X-ray vision—I use imaging technology to look for clues inside the body to figure out why someone is not feeling well. The clues I find help solve the mystery of illness and play an important part in guiding treatment.

    I specialize in breast imaging and use different types of exams such as mammograms, ultrasounds, MRI, and PET/CT scans to detect disease. My patients include women having an annual screening mammogram and those who are in various stages of care for breast cancer. I see women who have a family history of breast cancer and are at higher risk, those who already have breast cancer to prepare for or monitor treatment, and those who have benign breast conditions.

    Very often, I may be the first breast cancer specialist a person meets. As part of the breast care team, I educate and guide my patients through imaging options based on their personal and family medical history. I also refer them to genetic counselors and oncologists, so they can learn more about their risk factors and treatment options. To help reduce anxiety, I take the time to explain the imaging findings and possible next steps. If I see something suspicious or unusual on an exam, I perform a biopsy. I also specialize in procedures localizations to mark the location of a breast tumor or abnormal tissue, which helps surgeons to tailor their surgical approach.

    At the University of Utah/Huntsman Cancer Hospital, we offer the latest technologies to all our patients. This includes digital breast tomosynthesis, an advanced three-dimensional technology that helps improve our ability to detect breast cancer. We also use breast MRI to screen high-risk women and to evaluate how much disease is present in patients with cancer.

    I am currently involved in researching how artificial intelligence can be used as a support tool to improve breast cancer detection. I serve as the Medical Director of Breast Imaging IT and Innovation and as the Fellowship Director of Breast Imaging training.

    I am a member of the Radiological Society of North America and serve as a member of the Informatics Committee, which helps to create methods and tools for radiologists to do their work more efficiently and effectively.

    Board Certification and Academic Information

    Academic Departments Radiology & Imaging Sciences -Adjunct
    Biomedical Informatics -Adjunct
    Board Certification
    American Board of Radiology (Diagnostic Radiology)

    Education history

    Fellowship Breast Imaging - UPMC Magee-Women's Hospital Fellow
    Radiology - University of Pittsburgh Medical Center (UPMC) Resident
    Fellowship Imaging Informatics - University of Pittsburgh Medical Center (UPMC) Fellow
    Transitional Internship - Sacred Heart Medical Center Intern
    Professional Medical Medicine - University of Utah M.D.
    Medical Informatics - University of Utah M.S.
    Undergraduate Business Management/Information Systems - Brigham Young University B.S.

    Selected Publications

    Journal Article

    1. Morgan MB, Mates JL (2022). Ethics of Artificial Intelligence in Breast Imaging. J Breast Imaging, 5(2), 195-200. (Read full article)
    2. Winkler N, Braden S, Al-Dulaimi R, Morgan M, Walczak C, Freer P (2021). Perceptions Regarding Optimal Breast Imaging Education for Radiology Residents: Results of a National Survey. Curr Probl Diagn Radiol, 51(4), 454-459. (Read full article)
    3. Morgan MB, Mates JL (2020). Applications of Artificial Intelligence in Breast Imaging. Radiol Clin North Am, 59(1), 139-148. (Read full article)
    4. Geis JR, Brady AP, Wu CC, Spencer J, Ranschaert E, Jaremko JL, Langer SG, Borondy Kitts A, Birch J, Shields WF, van den Hoven van Genderen R, Kotter E, Wawira Gichoya J, Cook TS, Morgan MB, Tang A, Safdar NM, Kohli M (2019). Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement. Radiology, 293(2), 436-440. (Read full article)
    5. Geis JR, Brady AP, Wu CC, Spencer J, Ranschaert E, Jaremko JL, Langer SG, Kitts AB, Birch J, Shields WF, van den Hoven van Genderen R, Kotter E, Gichoya JW, Cook TS, Morgan MB, Tang A, Safdar NM, Kohli M (2019). Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement. J Am Coll Radiol, 16(11), 1516-1521. (Read full article)
    6. Geis JR, Brady AP, Wu CC, Spencer J, Ranschaert E, Jaremko JL, Langer SG, Kitts AB, Birch J, Shields WF, van den Hoven van Genderen R, Kotter E, Gichoya JW, Cook TS, Morgan MB, Tang A, Safdar NM, Kohli M (2019). Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement. Can Assoc Radiol J, 70(4), 329-334. (Read full article)
    7. Geis JR, Brady A, Wu CC, Spencer J, Ranschaert E, Jaremko JL, Langer SG, Kitts AB, Birch J, Shields WF, van den Hoven van Genderen R, Kotter E, Gichoya JW, Cook TS, Morgan MB, Tang A, Safdar NM, Kohli M (2019). Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement. Insights Imaging, 10(1), 101. (Read full article)
    8. Haider I, Morgan M, McGow A, Stein M, Rezvani M, Freer P, Hu N, Fajardo L, Winkler N (2018). Comparison of Breast Density Between Synthesized Versus Standard Digital Mammography. J Am Coll Radiol, 15(10), 1430-1436.
    9. Kohli M, Morrison JJ, Wawira J, Morgan MB, Hostetter J, Genereaux B, Hussain M, Langer SG (2017). Creation and Curation of the Society of Imaging Informatics in Medicine Hackathon Dataset. J Digit Imaging, 31(1), 9-12. (Read full article)
    10. Morgan MB, Young E, Harada S, Winkler N, Riegert J, Jones T, Hu N, Stein M (2017). Ditching the Disc: The Effects of Cloud-Based Image Sharing on Department Efficiency and Report Turnaround Times in Mammography. J Am Coll Radiol, 14(12), 1560-1565. (Read full article)
    11. Morgan MB, Meenan CD, Safdar NM, Nagy P, Flanders AE (2014). Informatics leaders in radiology: who they are and why you need them. J Am Coll Radiol, 11(12 Pt B), 1241-50. (Read full article)
    12. Morgan MB, Branstetter BF 4th, Clark C, House J, Baker D, Harnsberger HR (2011). Just-in-time radiologist decision support: the importance of PACS-integrated workflow. J Am Coll Radiol, 8(7), 497-500. (Read full article)
    13. Morgan MB, Branstetter BF 4th, Lionetti DM, Richardson JS, Chang PJ (2008). The radiology digital dashboard: effects on report turnaround time. J Digit Imaging, 21(1), 50-8. (Read full article)
    14. Mates J, Branstetter BF, Morgan MB, Lionetti DM, Chang PJ (2007). 'Wet Reads' in the age of PACS: technical and workflow considerations for a preliminary report system. J Digit Imaging, 20(3), 296-306. (Read full article)
    15. Branstetter BF 4th, Morgan MB, Nesbit CE, Phillips JA, Lionetti DM, Chang PJ, Towers JD (2006). Preliminary reports in the emergency department: is a subspecialist radiologist more accurate than a radiology resident? Acad Radiol, 14(2), 201-6. (Read full article)
    16. Morgan MB, Branstetter BF 4th, Mates J, Chang PJ (2006). Flying blind: using a digital dashboard to navigate a complex PACS environment. J Digit Imaging, 19(1), 69-75. (Read full article)
    17. Morgan M, Mates J, Chang P (2006). Toward a user-driven approach to radiology software solutions: Putting the wag back in the dog. J Digit Imaging.

    Book Chapter

    1. Morgan MB, Branstetter BF (2021). Quality Improvement and Workflow Engineering. In Barton F. Branstetter, IV (Eds.), Practical Imaging Informatics (2nd Edition, pp. 409-424). New York: Springer.
    2. Morgan MB (2019). Breast Carcinoma. In Shabaan AM (Ed.), Diagnostic Imaging: Oncology (2nd Edition). Elsevier.

    Letter

    1. Factor RE, Schmidt RL, Chadwick BE, Witt BJ, Morgan M, Neumayer LA, Layfield LJ (2015). Axillary lymph node FNA in women with breast cancer is a highly accurate procedure, so why are core biopsies being done? [Letter to the editor]. Diagn Cytopathol, 43(6), 510-2. (Read full article)
    2. Branstetter BF, Morgan MB (2008). Letter to the editor re: "The radiology digital dashboard: effects on report turnaround time.". [Letter to the editor]. J Digit Imaging, 22(2), 103. (Read full article)