Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging.

Bjorn Kaijun Betzler, Tyler Hyungtaek Rim, Charumathi Sabanayagam, Ching-Yu Cheng

May 2022 Front Digit Health

Synopsis of Social media discussions

The discussions highlight the significance of AI for ophthalmic imaging in predicting systemic health issues, using phrases like 'new research' and 'digital health.' The tone is neutral and informational, reflecting interest but limited deep engagement or critique.

A
Agreement
 Neither agree nor disagree

Most comments reference the article or research positively but do not express strong opinions or disagreement.

I
Interest
 Moderate level of interest

Discussions show curiosity about the research, indicated by mentions of new findings and digital health themes.

E
Engagement
 Neutral engagement

Comments are mostly summaries or shares of information without detailed analysis or critique.

I
Impact
 Moderate level of impact

The posts suggest recognition of the research's potential relevance, but not overwhelming or transformative impact.

Social Mentions

YouTube

2 Videos

Twitter

10 Posts

News

3 Articles

Metrics

Video Views

2,241

Total Likes

122

Extended Reach

36,772

Social Features

15

Timeline: Posts about article

Top Social Media Posts

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  • retinapapers
    @retina_papers (Twitter)

    Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/RBmmXM7jQO https://t.co/H8kNbTseJ3
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    June 19, 2022

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    RT @OCTMD: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/1qOODawPUo
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    June 16, 2022

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    June 16, 2022

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    May 30, 2022

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    New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/IHdmOflLF5 #digitalhealth
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    May 30, 2022

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Abstract Synopsis

  • AI technology has been effectively used to diagnose and manage eye diseases, and now it's expanding to predict systemic health conditions using ophthalmic images.
  • The eye is a valuable window for systemic health because it provides accessible, detailed images that can reveal information about various body systems such as cardiovascular, neurological, and metabolic systems.
  • Current research uses three main imaging types—retinal fundus photos, optical coherence tomography (OCT), and external eye images—to predict demographic data, body metrics, and systemic diseases, but there are still limitations and areas for future development in AI applications.]