PubHawk
Front Digit Health May 2022 PMID 35706971

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

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

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Mentions

15
Peak: 7 in May 2022
across 3 sources since May 2022

Extended reach

36,772
potential audience

Total likes

122

Video views

2,241

Mentions per month

May 2022 – Oct 2024

Where it's discussed

  • X / Twitter10 posts
  • News3 articles
  • YouTube2 videos

AI synopsis

What people are saying

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.

AgreementNeither agree nor disagree

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

InterestModerate interest

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

EngagementNeutral engagement

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

ImpactModerate impact

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

Abstract in brief

  • 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.]
Read the full abstract

Top posts

Most liked on X and Bluesky
Chidambara .ML.
@chidambara09 · X

RT @FrontDigiHealth: New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t…

May 30, 2022 · 3 shares · 11,664 followers View post →
Chidambara .ML.
@chidambara09 · X

RT @UABAnes_AI: New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/I…

May 30, 2022 · 2 shares · 11,664 followers View post →
Richard Kim ↙️
@richardkimphd · X

RT @FrontDigiHealth: New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t…

May 30, 2022 · 3 shares · 4,637 followers View post →
Frontiers in Digital Health
@FrontDigiHealth · X

New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/DQ67VmPkdt #digitalhealth

May 30, 2022 · 3 shares · 1,830 followers View post →
Brandon Lujan, MD
@OCTMD · X

Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/1qOODawPUo

Jun 16, 2022 · 1 share · 1,402 followers View post →
Gaming Bot
@precisionmedbot · X

RT @UABAnes_AI: New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/I…

May 30, 2022 · 2 shares · 1,144 followers View post →

All mentions

retinapapers
@retina_papers · X

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

Jun 19, 2022 · 145 followers View post →
Jack Freeman
@techguyjack · X

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

Jun 16, 2022 · 1 share · 724 followers View post →
Brandon Lujan, MD
@OCTMD · X

Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/1qOODawPUo

Jun 16, 2022 · 1 share · 1,402 followers View post →
Chidambara .ML.
@chidambara09 · X

RT @FrontDigiHealth: New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t…

May 30, 2022 · 3 shares · 11,664 followers View post →
Chidambara .ML.
@chidambara09 · X

RT @UABAnes_AI: New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/I…

May 30, 2022 · 2 shares · 11,664 followers View post →
Gaming Bot
@precisionmedbot · X

RT @UABAnes_AI: New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/I…

May 30, 2022 · 2 shares · 1,144 followers View post →
UAB Anesthesiology Data Science
@UABAnes_AI · X

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

May 30, 2022 · 2 shares · 108 followers View post →
Richard Kim ↙️
@richardkimphd · X

RT @FrontDigiHealth: New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t…

May 30, 2022 · 3 shares · 4,637 followers View post →
Gaming Bot
@precisionmedbot · X

RT @FrontDigiHealth: New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t…

May 30, 2022 · 3 shares · 1,144 followers View post →
Frontiers in Digital Health
@FrontDigiHealth · X

New research: Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging https://t.co/DQ67VmPkdt #digitalhealth

May 30, 2022 · 3 shares · 1,830 followers View post →
Uploads PDF PDF en 2262 | PDF | Artificial Intelligence | Intelligence ...
News

(1.68 retina codes per eye It remains unclear who should be Diseases From Ophthalmic Imaging. Front Digit Health. 2022;4:889445. doi:10.3389/fdgth.2022.889445

Dec 18, 2025 View →
Fcell 11 1170068 | PDF | Myopia | Vision
News

doi:10.3389/fdgth.2022.889445 artificial intelligence in 3 low- and middle-income populations. JAMA Ophthalmol. 140, Birch, E. E., Kelly, K. R., and Wang, J ...

Dec 18, 2025 View →
1 s2.0 S0010482525007632 Main | PDF | Machine Learning | Retina
News

org/10.3389/fdgth.2022.889445. [59] Yanxiu Li, Xiaobo Xia, Yannis M. Paulus, Advances in retinal optical imag- [41] M. Abdollahi, A. Jafarizadeh, A ...

Dec 18, 2025 View →