Employing Artificial Intelligence for the diagnosis of Retinopathy of Prematurity - A review
Volume 18, Issue 2, 2024
Download| Author(s): |
Syeda Sidra Ali Ziauddin University (FESTM), Karachi, Pakistan, syeda.14348@zu.edu.pk Mehwish Faiz* BZiauddin University (FESTM), Karachi, Pakistan , mehwish.faiz@zu.edu.pk Syeda Hafiza Afsheen Zafar Bahria University Health Sciences Campus, Karachi, Pakistan , afsheen.bumdc@bahria.edu.pk Nazia Ejaz Balochistan University of Engineering and Technology, Khuzdar, Pakistan , naziaejaz@buetk.edu.pk Shahzad Nasim Begum Nusrat Bhutto Women University, Sukkur, Pakistan , shahzadnasim@live.com |
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| Abstract | The amalgamation of artificial intelligence (AI) with retinopathy of prematurity (ROP) demonstrates an upgradation in neonatal ophthalmology. This review investigates the pertinency of Artificial Intelligence Algorithms in health care domain to better understand how they are leveraged for the purpose of early detection, diagnosis and management or staging treatment requirements of ROP. Recent studies are reviewed showing the potential of AI to interpret retinal imaging, revise screening protocols and estimate disease progression, with the aim of alleviating healthcare systems and patient outcomes. In addition, we investigate the barriers to deployment of AI in clinical practice and highlight the importance of work at the intersection of different fields with structured validation efforts. By reviewing the existing literature, this paper intends to present a summary of AI implementation in ROP setting and shed light on its advantage as well as limitations when applying this cutting-edge technology for neonatal care. |
| Keywords | Artificial intelligence, retinopathy of prematurity, neonatal ophthalmology, Algorithms in health care domain, |
| Year | 2024 |
| Volume | 18 |
| Issue | 2 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/18.2/3.pdf | Page |