Using AI for Detection, Prediction and Classification of Retinal Detachment

Hesham Zaky, Ahmed Salem, Mahmoud Alzubaidi, Hurmat Ali Shah, Tanvir Alam, Zubair Shah, Mowafa Househ*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The current state of machine learning (ML) and deep learning (DL) algorithms used to detect, classify and predict the onset of retinal detachment (RD) were examined in this scoping review. This severe eye condition can cause vision loss if left untreated. By analyzing the medical imaging modalities such as fundus photography, AI could help to detect peripheral detachment at an earlier stage. We have searched five databases: PubMed, Google Scholar, ScienceDirect, Scopus, and IEEE. Two reviewers independently carried out the selection of the studies and their data extractions. 32 studies fulfilled our eligibility criteria from the 666 references collected. In particular, based on the performance metrics employed in these studies, this scoping review provides a general overview of emerging trends and practices concerning using ML and DL algorithms for detecting, classifying, and predicting RD.

Original languageEnglish
Title of host publicationHealthcare Transformation with Informatics and Artificial Intelligence
EditorsJohn Mantas, Parisis Gallos, Emmanouil Zoulias, Arie Hasman, Mowafa S. Househ, Martha Charalampidou, Andriana Magdalinou
PublisherIOS Press BV
Pages636-639
Number of pages4
ISBN (Electronic)9781643684000
DOIs
Publication statusPublished - 29 Jun 2023
Event21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023 - Athens, Greece
Duration: 1 Jul 20233 Jul 2023

Publication series

NameStudies in Health Technology and Informatics
Volume305
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023
Country/TerritoryGreece
CityAthens
Period1/07/233/07/23

Keywords

  • Retina
  • Retinal Detachment
  • convolutional neural networks
  • deep learning
  • machine learning

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