Practice Locations

UCHealth University of Colorado Hospital (UCH)
12605 E. 16th Ave Aurora, CO 80045

720-848-0000

Harrison Bai, MD, MS

Diagnostic

Board Certified

Schedule Appointment

  • Provider Credentials

    • Master of Science
    • Doctor of Medicine

  • Title(s)

    Vice Chair of Clinical Research

  • Gender

    Male

  • Languages

    English, Mandarin

  • Department

    Visiting Associate Professor, Radiology-Diagnostics

  • Specialty

    Vascular and Interventional Radiology, Diagnostic

  • Primary Clinic Phone

    720-848-0000

  • Hospital Affiliations

    University of Colorado Hospital
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Referring Provider Info

Locations

Practice Locations

UCHealth University of Colorado Hospital (UCH)
12605 E. 16th Ave
Aurora, CO 80045

720-848-0000

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Provider Expertise

Clinical Interest for Patients

Body imaging, including plain film, ultrasound, fluoroscopy, CT and MRI, with interests in CT-guided procedures and minimally invasive lung tumor ablation.


Care Philosophy

I strive to provide accurate, timely, and patient-centered imaging care while working closely with referring physicians to guide diagnosis and treatment.


Specialties

  • Vascular and Interventional Radiology ( 2024 )
  • Diagnostic ( 2022 )

Education & Training

Medical Schools

MD, Yale University School of Medicine (2013)


Undergraduate Schools

BA, Yale University (CT) (2008)


Graduate Schools

MS, Johns Hopkins University (2017)


Internships

Hospital of the University of Pennsylvania (2014)


Residency Program

Hospital of the University of Pennsylvania (2018)


Fellowships

Hospital of the University of Pennsylvania (2019)

Research & Grants

Grants

Deep Learning Characterization of Renal Tumors (2020)

AI-Driven RFID Sensing for Smart Health Applications (2023)

Employing Quantitative Image Analysis Based on Deep Learning to Improve Treatment Efficacy in Image-Guided Renal Tumor Ablation (2024)

Advancing Generative AI for Cardiac MRI: A Multi-Sequence Vision-Language Model for Personalized Diagnostics and Outcome Prediction (2025)

Development of a Fully Automated Deep Learning-Based Framework for Segmentation and Treatment Response Assessment of Lesions on PSMA PET/CT in Prostate Cancer (2025)

AI-driven framework for accurate diagnosis, prognosis, and management of acute pulmonary embolism (2026)


information for referring providers

Referral Contact Phone

720-848-0000

Referring Patients Link

Information for Referring and Transferring Patients

Clinical Interests for Referring Providers

Body imaging, including plain film, ultrasound, fluoroscopy, CT and MRI, and CT-guided procedures. I also welcome referrals and multidisciplinary discussions for patients who may be candidates for image-guided lung tumor ablation.