Background/objectives: Over 60,000 patients in the United Kingdom are estimated to have artificial eyes. Manufacturing and hand-painting of artificial eyes have not changed significantly since 1948. Delays and colour-matching issues may severely impact a patient's rehabilitation pathway. Technology advances mean alternatives are now possible. This cross-over, randomised feasibility trial aimed to determine the feasibility of conducting a full-scale trial of the effectiveness and cost-effectiveness of digitally-printed artificial eyes compared to hand-painted.
Subjects/methods: Patients aged ≥18 years who were longstanding artificial eye users requiring a replacement were randomised to receive either a hand-painted or digitally-printed eye first followed by the other type of eye. Participants were asked to approach a close contact (CC) willing to participate alongside them. A subset of participants, their CCs, and staff were interviewed about their opinions on trial procedures, artificial eyes, delivery times and satisfaction.
Results: Thirty-five participants were randomised and 10 CCs consented. Participant retention at final follow-up was 85.7%. Outcome data completion rates ranged from 91-100%. EQ-5D-5L completion ranged from 83-97%. Resource-use completion ranged from 0-94% with total costs at £347 for hand-painted and £404 for digitally-printed eye. There were two adverse events. Twelve participants, five CCs, and five staff were interviewed. There were positive and negative features of both types of eyes. We identified that social and psychological wellbeing is affected, often for many years after eye removal. Participation in the feasibility study was well accepted.
Conclusions: The feasibility study outcomes indicate that a full trial is achievable.
Trial Registration Number: ISRCTN85921622.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11584860 | PMC |
http://dx.doi.org/10.1038/s41433-024-03273-0 | DOI Listing |
Ophthalmologie
January 2025
Augenklinik Sulzbach, Knappschaftsklinikum Saar, An der Klinik 10, 66280, Sulzbach/Saar, Deutschland.
Background: The increasing bureaucratic burden in everyday clinical practice impairs doctor-patient communication (DPC). Effective use of digital technologies, such as automated semantic speech recognition (ASR) with automated extraction of diagnostically relevant information can provide a solution.
Objective: The aim was to determine the extent to which ASR in conjunction with semantic information extraction for automated documentation of the doctor-patient dialogue (ADAPI) can be integrated into everyday clinical practice using the IVI routine as an example and whether patient care can be improved through process optimization.
Rev Med Suisse
January 2025
Service d'ophtalmologie, Hôpitaux universitaires de Genève, 1211 Genève 14.
Ophthalmology is notable for significant technological innovations (e.g laser, microscopy…) that allow for diagnostic and therapeutic advances every year. This article presents the main significant therapeutic progress and highlights the growing use of artificial intelligence in diagnosis of eye disease.
View Article and Find Full Text PDFiScience
January 2025
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran 14399-57131, Iran.
Microsaccades, a form of fixational eye movements, help maintain visual stability during stationary observations. This study examines the modulation of microsaccadic rates by various stimulus categories in monkeys and humans during a passive viewing task. Stimulus sets were grouped into four primary categories: human, animal, natural, and man-made.
View Article and Find Full Text PDFOphthalmol Sci
November 2024
Notal Vision Inc., Manassas, Virginia.
Purpose: To validate the performance of the Notal OCT Analyzer (NOA) in processing self-administered OCT images from an OCT system designed for home use (home OCT [HOCT]) as part of a pivotal study aimed at achieving de novo United States Food and Drug Admininstration marketing authorization.
Design: A prospective quantitative cross-sectional artificial intelligence study.
Participants: The study enrolled adults aged ≥55 years diagnosed with neovascular age-related macular degeneration (nAMD) in ≥1 eligible eye with a best-corrected visual acuity of 20/320 or better.
Ophthalmol Sci
November 2024
Casey Eye Institute, Oregon Health & Science University, Portland, Oregon.
Purpose: The diagnosis of fungal keratitis using potassium hydroxide (KOH) smears of corneal scrapings enables initiation of the correct antimicrobial therapy at the point-of-care but requires time-consuming manual examination and expertise. This study evaluates the efficacy of a deep learning framework, dual stream multiple instance learning (DSMIL), in automating the analysis of whole slide imaging (WSI) of KOH smears for rapid and accurate detection of fungal infections.
Design: Retrospective observational study.
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