Matthew B. Morgan
No Rating Available
(Learn About Our Rating System)

Matthew B. Morgan, MD, MS

Languages spoken: English, Spanish

Clinical Locations

Primary Location

Huntsman Cancer Institute - Cancer Hospital North

2K, Gynecology and Mammography
1950 Circle of Hope
Salt Lake City , UT 84112
801-581-5496
Get Directions

  • 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.

    Specialties

    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 Biomedical Informatics -Adjunct Assistant Professor
    Radiology & Imaging Sciences -Associate Professor (Clinical)
    Board Certification
    American Board of Radiology (Diagnostic Radiology)

    Education history

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

    Selected Publications

    Journal Article

    1. Morgan MB, Branstetter BF 4th, Mates J, Chang P (2006). Flying blind: using a digital dashboard to navigate a complex PACS environment. Journal of digital imaging, 19(1), 69-75. (Read full publication)
    2. Mates J, Branstetter BF, Morgan MB, Lionetti DM, Chang P (2007). 'Wet Reads' in the age of PACS: technical and workflow considerations for a preliminary report system. Journal of digital imaging, 20(3), 296-306. (Read full publication)
    3. Morgan MB, Branstetter BF 4th, Lionetti DM, Richardson JS, Chang P (2008). The radiology digital dashboard: effects on report turnaround time. Journal of digital imaging, 21(1), 50-8. (Read full publication)
    4. Kohli M, Morrison JJ, Wawira J, Morgan MB, Hostetter J, Genereaux B, Hussain M, Langer S (2018). Creation and Curation of the Society of Imaging Informatics in Medicine Hackathon Dataset. Journal of digital imaging, 31(1), 9-12. (Read full publication)
    5. Morgan M, Mates J, Chang (2006). Toward a user-driven approach to radiology software solutions: Putting the wag back in the dog. Journal of digital imaging,
    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 (2019). Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement. Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes, 70(4), 329-334. (Read full publication)
    7. Morgan MB, Mates J (2021). Applications of Artificial Intelligence in Breast Imaging. Radiologic clinics of North America, 59(1), 139-148. (Read full publication)
    8. 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 (2019). Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement. Radiology, 293(2), 436-440. (Read full publication)
    9. Branstetter BF 4th, Morgan MB, Nesbit CE, Phillips JA, Lionetti DM, Chang PJ, Towers J (2007). Preliminary reports in the emergency department: is a subspecialist radiologist more accurate than a radiology resident?. Academic radiology, 14(2), 201-6. (Read full publication)
    10. Morgan MB, Branstetter BF 4th, Clark C, House J, Baker D, Harnsberger H (2011). Just-in-time radiologist decision support: the importance of PACS-integrated workflow. Journal of the American College of Radiology, 8(7), 497-500. (Read full publication)
    11. Morgan MB, Meenan CD, Safdar NM, Nagy P, Flanders A (2014). Informatics leaders in radiology: who they are and why you need them. Journal of the American College of Radiology, 11(12 Pt B), 1241-50. (Read full publication)
    12. Morgan MB, Young E, Harada S, Winkler N, Riegert J, Jones T, Hu N, Stein (2017). Ditching the Disc: The Effects of Cloud-Based Image Sharing on Department Efficiency and Report Turnaround Times in Mammography. Journal of the American College of Radiology, 14(12), 1560-1565. (Read full publication)
    13. 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 (2019). Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement. Journal of the American College of Radiology, 16(11), 1516-1521. (Read full publication)
    14. Haider I, Morgan M, McGow A, Stein M, Rezvani M, Freer P, Hu N, Fajardo L, Winkler (2018). Comparison of Breast Density Between Synthesized Versus Standard Digital Mammography. Journal of the American College of Radiology, 15(10), 1430-1436.
    15. 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 (2019). Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement. Insights into imaging, 10(1), 101. (Read full publication)
    16. Winkler N, Braden S, Al-Dulaimi R, Morgan M, Walczak C, Freer (2021). Perceptions Regarding Optimal Breast Imaging Education for Radiology Residents: Results of a National Survey. Current problems in diagnostic radiology, 51(4), 454-459. (Read full publication)
    17. Morgan MB, Mates J (2023). Ethics of Artificial Intelligence in Breast Imaging. Journal of breast imaging, 5(2), 195-200. (Read full publication)
    18. Kitamura F, Kline T, Warren D, Moy L, Daneshjou R, Maleki F, Santos I, Gichoya J, Wiggins W, Bialecki B, O'Donnell K, Flanders AE, Morgan M, Safdar N, Andriole KP, Geis R, Allen B, Dreyer K, Lungren M, Wood MJ, Kohli M, Langer S, Shih G, Farina E, Kahn CE Jr, Reiser I, Giger M, Wald C, Mongan J, Cook T, Tenenholtz (2025). Teaching AI for Radiology Applications: A Multisociety'Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. Medical physics, 52(10), e17779. (Read full publication)
    19. Kitamura F, Kline T, Warren D, Moy L, Daneshjou R, Maleki F, Santos I, Gichoya J, Wiggins W, Bialecki B, O'Donnell K, Flanders AE, Morgan M, Safdar N, Andriole KP, Geis R, Allen B, Dreyer K, Lungren M, Wood MJ, Kohli M, Langer S, Shih G, Farina E, Kahn CE Jr, Reiser I, Giger M, Wald C, Mongan J, Cook T, Tenenholtz (2025). Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. Radiology. Artificial intelligence, 7(6), e250137. (Read full publication)
    20. Kitamura F, Kline T, Warren D, Moy L, Daneshjou R, Maleki F, Santos I, Gichoya J, Wiggins W, Bialecki B, O'Donnell K, Flanders AE, Morgan M, Safdar N, Andriole KP, Geis R, Allen B, Dreyer K, Lungren M, Wood MJ, Kohli M, Langer S, Shih G, Farina E, Kahn CE Jr, Reiser I, Giger M, Wald C, Mongan J, Cook T, Tenenholtz (2025). Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. Journal of imaging informatics in medicine, (Read full publication)

    Book Chapter

    1. Morgan M (2019). Breast Carcinoma.
    2. Morgan MB, Branstetter B (2021). Quality Improvement and Workflow Engineering. 409-424.

    Letter

    1. Branstetter BF, Morgan M (2009). Letter to the editor re: "The radiology digital dashboard: effects on report turnaround time.". Journal of digital imaging, 22(2), 103. (Read full publication)
    2. Factor RE, Schmidt RL, Chadwick BE, Witt BJ, Morgan M, Neumayer LA, Layfield L (2015). Axillary lymph node FNA in women with breast cancer is a highly accurate procedure, so why are core biopsies being done?. Diagnostic cytopathology, 43(6), 510-2. (Read full publication)