Artificial intelligence for diabetic retinopathy in low-income and middle-income countries: a scoping review.
developing countries
diabetic retinopathy
information technology
public health
Journal
BMJ open diabetes research & care
ISSN: 2052-4897
Titre abrégé: BMJ Open Diabetes Res Care
Pays: England
ID NLM: 101641391
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
received:
27
03
2023
accepted:
11
07
2023
medline:
4
8
2023
pubmed:
3
8
2023
entrez:
2
8
2023
Statut:
ppublish
Résumé
Diabetic retinopathy (DR) is a leading cause of blindness globally. There is growing evidence to support the use of artificial intelligence (AI) in diabetic eye care, particularly for screening populations at risk of sight loss from DR in low-income and middle-income countries (LMICs) where resources are most stretched. However, implementation into clinical practice remains limited. We conducted a scoping review to identify what AI tools have been used for DR in LMICs and to report their performance and relevant characteristics. 81 articles were included. The reported sensitivities and specificities were generally high providing evidence to support use in clinical practice. However, the majority of studies focused on sensitivity and specificity only and there was limited information on cost, regulatory approvals and whether the use of AI improved health outcomes. Further research that goes beyond reporting sensitivities and specificities is needed prior to wider implementation.
Identifiants
pubmed: 37532460
pii: 11/4/e003424
doi: 10.1136/bmjdrc-2023-003424
pmc: PMC10401245
pii:
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Wellcome Trust
ID : 207472/Z/17/Z
Pays : United Kingdom
Informations de copyright
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
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