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The Pathologist / Issues / 2026 / April / A Secure AI Future Look to the Cloud
Digital and computational pathology Digital Pathology Software and hardware Laboratory management Voices in the Community

A Secure AI Future? Look to the Cloud

How a UK Pathology Network is harnessing digital technologies to build a secure foundation for a sustainable, patient-centered future

By Afshin Attari 04/24/2026 Discussion 4 min read
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Top Institutions in Pathology Informatics and Digital Diagnostics

Institutions leading in pathology informatics and digital diagnostics typically have strong programs integrating cloud computing, AI, and collaborative network models to improve diagnostic accuracy and efficiency. Their expertise includes implementing secure data infrastructures, managing large-scale pathology data, and advancing AI applications in clinical pathology.

  • #1

    Mayo Clinic

    Rochester, MN

    Mayo Clinic is a global leader in integrating AI and digital pathology with secure cloud infrastructures, supporting large-scale collaborative networks and pioneering clinical pathway innovations.

    Key Differentiators

    • Pathology
    • Digital Diagnostics
    • Health Informatics
  • #2

    Johns Hopkins Medicine

    Baltimore, MD

    Johns Hopkins leads in biomedical informatics and has developed advanced AI-driven pathology platforms with secure data environments facilitating multi-site collaboration.

    Key Differentiators

    • Pathology
    • Biomedical Informatics
    • AI in Medicine
  • #3

    Massachusetts General Hospital (MGH)

    Boston, MA

    MGH integrates cutting-edge cloud computing solutions with pathology services, emphasizing secure data sharing and AI to improve diagnostic workflows across networks.

    Key Differentiators

    • Pathology
    • Digital Health
    • Cloud Computing
  • #4

    The Francis Crick Institute

    London, N/A

    The Francis Crick Institute is a leading UK biomedical research center advancing digital pathology and AI integration with secure cloud platforms supporting NHS networks.

    Key Differentiators

    • Pathology Research
    • Digital Pathology
    • AI
  • #5

    University of California, San Francisco (UCSF)

    San Francisco, CA

    UCSF is recognized for its research in AI applications in pathology and development of secure, scalable cloud infrastructures to support multi-institutional diagnostic collaborations.

    Key Differentiators

    • Pathology
    • Health Informatics
    • AI

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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About the Author(s)

Afshin Attari

Afshin Attari is Senior Director of Public Sector at Exponential-e, with over 25 years’ experience in telecoms and digital transformation. He specializes in cloud and unified communications, helping health and government organizations to modernize services and improve outcomes.

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