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Children
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Recent Advances in Retinopathy of Prematurity
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Recent Advances in Retinopathy of Prematurity

A special issue of Children (ISSN 2227-9067). This special issue belongs to the section "Pediatric Ophthalmology".

Deadline for manuscript submissions: 25 October 2024 | Viewed by 1015

Special Issue Editors

Dr. Marilyn Fisher

E-Mail Website
Guest Editor
Department of Pediatrics, Albany Medical College, Albany, New York, NY, USA
Interests: retinopathy of prematurity
Dr. Lauren Tomlinson

E-Mail Website
Guest Editor
Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa, IA, USA
Interests: retinopathy of prematurity

Special Issue Information

Dear Colleagues,

Advances in the care of the premature neonate have led to increasing rates of survival in this high-risk population. In order to achieve improved survival, many of these neonates worldwide have experienced aggressive ventilator support as well as nutritional perturbations. The neonates that previously would have succumbed are now surviving with complications of prematurity, including retinopathy of prematurity. Recent changes in the categorization of retinopathy of prematurity, screening criteria for retinopathy of prematurity, treatment with laser photocoagulation, intravitreal injections of anti-vascular endothelial growth factor (anti-VEGF), and vitreoretinal surgery for advanced retinopathy of prematurity have helped to monitor and salvage the vision of these neonates.

In this Special Issue, we aim to provide clinicians with updated information on the epidemiology of retinopathy of prematurity, strategies to decrease its incidence and severity, current screening criteria, and methods of treating retinopathy of prematurity when it threatens vision. We invite you to share your expertise with medical professionals who care for premature neonates.

Dr. Marilyn Fisher
Dr. Lauren Tomlinson
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Children is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • retinopathy of prematurity (ROP)
  • vascular endothelial growth factor (VEGF)
  • vitreoretinal
  • childhood blindness
  • retinal vascularization
  • laser photocoagulation
  • vitrectomy
  • postnatal growth
  • retina
  • retinal screening
  • prematurity

Published Papers (1 paper)

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Research

11 pages, 237 KiB  
Article
Exploring the Role of ChatGPT-4, BingAI, and Gemini as Virtual Consultants to Educate Families about Retinopathy of Prematurity
by Ceren Durmaz Engin, Ezgi Karatas and Taylan Ozturk
Children 2024, 11(6), 750; https://doi.org/10.3390/children11060750 - 20 Jun 2024
Viewed by 725
Abstract
Background: Large language models (LLMs) are becoming increasingly important as they are being used more frequently for providing medical information. Our aim is to evaluate the effectiveness of electronic artificial intelligence (AI) large language models (LLMs), such as ChatGPT-4, BingAI, and Gemini in [...] Read more.
Background: Large language models (LLMs) are becoming increasingly important as they are being used more frequently for providing medical information. Our aim is to evaluate the effectiveness of electronic artificial intelligence (AI) large language models (LLMs), such as ChatGPT-4, BingAI, and Gemini in responding to patient inquiries about retinopathy of prematurity (ROP). Methods: The answers of LLMs for fifty real-life patient inquiries were assessed using a 5-point Likert scale by three ophthalmologists. The models’ responses were also evaluated for reliability with the DISCERN instrument and the EQIP framework, and for readability using the Flesch Reading Ease (FRE), Flesch-Kincaid Grade Level (FKGL), and Coleman-Liau Index. Results: ChatGPT-4 outperformed BingAI and Gemini, scoring the highest with 5 points in 90% (45 out of 50) and achieving ratings of “agreed” or “strongly agreed” in 98% (49 out of 50) of responses. It led in accuracy and reliability with DISCERN and EQIP scores of 63 and 72.2, respectively. BingAI followed with scores of 53 and 61.1, while Gemini was noted for the best readability (FRE score of 39.1) but lower reliability scores. Statistically significant performance differences were observed particularly in the screening, diagnosis, and treatment categories. Conclusion: ChatGPT-4 excelled in providing detailed and reliable responses to ROP-related queries, although its texts were more complex. All models delivered generally accurate information as per DISCERN and EQIP assessments. Full article
(This article belongs to the Special Issue Recent Advances in Retinopathy of Prematurity)
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