Appropriate Ophthalmic Surgical Technology in Developing Nations

Schwab, Larry; Whitfield, Randolph

doi:10.3928/1542-8877-19821201-04

Cited by 7 publications

(1 citation statement)

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“…Despite the global increase in ophthalmologists, there remains a significant shortage in developing countries [ 1 ]. This shortage is compounded by the limited access to appropriate surgical technologies and diagnostic tools [ 2 , 3 ]. The deployment of local ophthalmologists is considered a cost-effective solution.…”

Section: Introductionmentioning

confidence: 99%

Development of the AI Pipeline for Corneal Opacity Detection

Yoshitsugu,

Shimizu,

Nishimura

et al. 2024

Bioengineering

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Ophthalmological services face global inadequacies, especially in low- and middle-income countries, which are marked by a shortage of practitioners and equipment. This study employed a portable slit lamp microscope with video capabilities and cloud storage for more equitable global diagnostic resource distribution. To enhance accessibility and quality of care, this study targets corneal opacity, which is a global cause of blindness. This study has two purposes. The first is to detect corneal opacity from videos in which the anterior segment of the eye is captured. The other is to develop an AI pipeline to detect corneal opacities. First, we extracted image frames from videos and processed them using a convolutional neural network (CNN) model. Second, we manually annotated the images to extract only the corneal margins, adjusted the contrast with CLAHE, and processed them using the CNN model. Finally, we performed semantic segmentation of the cornea using annotated data. The results showed an accuracy of 0.8 for image frames and 0.96 for corneal margins. Dice and IoU achieved a score of 0.94 for semantic segmentation of the corneal margins. Although corneal opacity detection from video frames seemed challenging in the early stages of this study, manual annotation, corneal extraction, and CLAHE contrast adjustment significantly improved accuracy. The incorporation of manual annotation into the AI pipeline, through semantic segmentation, facilitated high accuracy in detecting corneal opacity.

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Section: Introductionmentioning

confidence: 99%

Development of the AI Pipeline for Corneal Opacity Detection

Yoshitsugu,

Shimizu,

Nishimura

et al. 2024

Bioengineering

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STUDY TO COMPARE THE VISUAL OUTCOME AFTER CATARACT SURGERY PERFORMED IN EYE CAMPS & MEDICAL COLLEGE HOSPITAL IN ROUTINE

Jain¹,

Shrivastawa²,

Siddiqui³

2014

jemds

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The study was carried out in the upgraded department of ophthalmology N.S.C.B. Medical College & Hospital, Jabalpur (M.P.) during academic session of 2005-2006 to correlate the visual outcome after cataract surgery in camps & in routine hospital cases. Two groups of patients were taken for study: Group A-1540 patients taken from eye camps organized during September 2005-feb 2006. Group B-260 cases which have been operated as routine patients during February 2006-april 2006. The result suggests that cataract surgery performed in well-organized eye camps is comparable with surgery done in routine hospital cases and the visual outcome was comparable in both groups. This paper will discuss the study in detail.

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Sight Saving Strategies for Developing Nations: Toward an Appropriate Philosophy of Blindness Treatment and Prevention for Ministries of Health, International Agencies and Mission Societies in Developing Nations

Heldt¹

1985

Ophthalmic Surg Lasers Imaging

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Appropriate Ophthalmic Surgical Technology in Developing Nations

Cited by 7 publications

References 1 publication

Development of the AI Pipeline for Corneal Opacity Detection

Development of the AI Pipeline for Corneal Opacity Detection

STUDY TO COMPARE THE VISUAL OUTCOME AFTER CATARACT SURGERY PERFORMED IN EYE CAMPS & MEDICAL COLLEGE HOSPITAL IN ROUTINE

Sight Saving Strategies for Developing Nations: Toward an Appropriate Philosophy of Blindness Treatment and Prevention for Ministries of Health, International Agencies and Mission Societies in Developing Nations

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