Conexiant
Login
  • Corneal Physician
  • Glaucoma Physician
  • New Retinal Physician
  • Ophthalmology Management
  • Ophthalmic Professional
  • Presbyopia Physician
  • Retinal Physician
The Ophthalmologist
  • Explore

    Explore

    • Latest
    • Insights
    • Case Studies
    • Opinion & Personal Narratives
    • Research & Innovations
    • Product Profiles

    Featured Topics

    • Anterior Segment
    • Glaucoma
    • Retina

    Issues

    • Latest Issue
    • Archive
  • Subspecialties
    • Cataract
    • Cornea
    • Glaucoma
    • Neuro-ophthalmology
    • Oculoplastics
    • Optometry
    • Pediatric
    • Retina
  • Business

    Business & Profession

    • Professional Development
    • Business and Entrepreneurship
    • Practice Management
    • Health Economics & Policy
  • Training & Education

    Career Development

    • Professional Development
    • Career Pathways

    Events

    • Webinars
    • Live Events
  • Events
    • Live Events
    • Webinars
  • Community

    People & Profiles

    • Power List
    • Voices in the Community
    • Authors & Contributors
  • Multimedia
    • Video
Subscribe
Subscribe

False

Advertisement
The Ophthalmologist / Issues / 2026 / June / AI: From Hype to Real-World Clinical Value
Educational Tools & Resources Research & Innovations Discussion

AI: From Hype to Real-World Clinical Value

Examining ophthalmic AI through the lens of clinical value rather than technical novelty

By Kai Jin, Andrzej Grzybowski 6/26/2026 8 min read

Share

  • Full Article
  • Summary
  • Listen
  • Report
  • Quiz
  • Top Institutions
  • Topic Commentary
4 Topic Commentaries

AI: From Hype to Real-World Clinical Value

AI: From Hype to Real-World Clinical Value

  • Stephen Sherry
    Stephen Sherry, PhD

    Biomedical informatics and data science

    •

    National Institutes of Health

    Integration of AI into health care holds great promise as a tool to help medical professionals diagnose patients faster, allowing them to start treatment sooner,

    Source
  • Ami Bhatt
    Ami Bhatt, MD, FACC

    Cardiology

    •

    American College of Cardiology

    The vast amount of medical data available exceeds human capacity, necessitating AI to distill relevant information,

    Source
  • Cui Tao
    Cui Tao, PhD

    Biomedical informatics and clinical AI

    •

    Mayo Clinic

    With AI, they're now able to ask and answer questions that they were not able to answer before,

    Source
  • Thomas J. Fuchs
    Thomas J. Fuchs, DrSc

    Computational pathology and machine learning

    •

    Memorial Sloan Kettering Cancer Center

    This is the first truly clinical-grade artificial intelligence model in pathology. We showed that we can train deep learning models on a large scale, using messy, real-world data.

    Source

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.

Related Content

Newsletters

Receive the latest Ophthalmology news, personalities, education, and career development – weekly to your inbox.

Newsletter Signup Image

False

Advertisement

False

Advertisement

Explore More in Ophthalmology

Dive deeper into the world of Ophthalmology. Explore the latest articles, case studies, expert insights, and groundbreaking research.

False

Advertisement
The Ophthalmologist
Subscribe

About

  • About Us
  • Work at Conexiant Europe
  • Terms and Conditions
  • Privacy Policy
  • Advertise With Us
  • Contact Us

Copyright © 2025 Texere Publishing Limited (trading as Conexiant), with registered number 08113419 whose registered office is at Booths No. 1, Booths Park, Chelford Road, Knutsford, England, WA16 8GS.

Affiliations:

Specialties:

Areas of Expertise:

Contributions:

Disclaimer

The Ophthalmologist website is intended solely for the eyes of healthcare professionals. Please confirm below: