Prospective real-world implementation of deep learning systems in healthcare: a systematic review guided by implementation science - Top-Institutions - MDSpire

Prospective real-world implementation of deep learning systems in healthcare: a systematic review guided by implementation science

  • By

  • Rachel Marjorie Wei Wen Tseng

  • Li Cheng Ong

  • Jocelyn Hui Lin Goh

  • Yibing Chen

  • Tina Chen

  • Elaine Lum

  • Yih-Chung Tham

  • January 23, 2026

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)
    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

    Cambridge, MA

    Key Differentiators

    • Artificial Intelligence
    • Healthcare Informatics
    • Implementation Science

  • #2

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Biomedical Informatics
    • Radiology AI
    • Ophthalmology AI

  • #3

    Johns Hopkins University School of Medicine
    Johns Hopkins University School of Medicine

    Baltimore, MD

    Key Differentiators

    • Implementation Science
    • Clinical AI
    • Dermatology AI

  • #4

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Clinical AI Deployment
    • Ophthalmology
    • Radiology

  • #5

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Biomedical Informatics
    • Implementation Science
    • Clinical AI

Original Source(s)

Prospective real-world implementation of deep learning systems in healthcare: a systematic review guided by implementation science

  • by Rachel Marjorie Wei Wen Tseng, Li Cheng Ong, Jocelyn Hui Lin Goh, Yibing Chen, Tina Chen, Elaine Lum, Yih-Chung Tham

  • January 23, 2026

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