Comparison of Weight-Gain-Based Prediction Models for Retinopathy of Prematurity in an Australian Population
CONCLUSIONS: CHOPROP, CO-ROP, and G-ROP performed well in this Australian population. CHOPROP, CO-ROP, and G-ROP would reduce the number of infants requiring examinations by 43.9%, 30.5%, and 26.9%, respectively, compared to current ROP screening guidelines. Weight-gain-based algorithms would be a useful adjunct to the current ROP screening.PMID:37670799 | PMC:PMC10477029 | DOI:10.1155/2023/8406287 (Source: Journal of Ophthalmology)
Source: Journal of Ophthalmology - September 6, 2023 Category: Opthalmology Authors: Alexander Bremner Li Yen Chan Courtney Jones Shaheen P Shah Source Type: research
Biomedical Data Annotation: An OCT Imaging Case Study
In this study, we evaluate the quality of diabetic macular edema (DME) intraretinal fluid (IRF) biomarker image annotations on OCT B-scans from five clinicians with a range of experience. We also assess the effectiveness of annotating across multiple sessions following a training session led by an expert clinician. Our investigation shows a notable variance in annotation performance, with a correlation that depends on the clinician's experience with OCT image interpretation of DME, and that having multiple annotation sessions has a limited effect on the annotation quality.PMID:37650051 | PMC:PMC10465257 | DOI:10.1155/2023/...
Source: Journal of Ophthalmology - August 31, 2023 Category: Opthalmology Authors: Matthew Anderson Salman Sadiq Muzammil Nahaboo Solim Hannah Barker David H Steel Maged Habib Boguslaw Obara Source Type: research
