Cargando…

Artificial intelligence for diabetic retinopathy screening: beyond diagnostic accuracy

Detalles Bibliográficos
Autor principal:	Malerbi, Fernando Korn
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2022
Materias:	Editorial
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652528/ https://www.ncbi.nlm.nih.gov/pubmed/36388776 http://dx.doi.org/10.21037/atm-22-4756

Ejemplares similares

Feasibility of screening for diabetic retinopathy using artificial intelligence, Brazil
por: Malerbi, Fernando Korn, et al.
Publicado: (2022)

Artificial intelligence for telemedicine diabetic retinopathy screening: a review
por: Nakayama, Luis Filipe, et al.
Publicado: (2023)

Single retinal image for diabetic retinopathy screening: performance of a handheld device with embedded artificial intelligence
por: Penha, Fernando Marcondes, et al.
Publicado: (2023)

Prospective studies on artificial intelligence (AI)-based diabetic retinopathy screening
por: Nanegrungsunk, Onnisa, et al.
Publicado: (2022)

Diabetic Macular Edema Screened by Handheld Smartphone-based Retinal Camera and Artificial Intelligence
por: Malerbi, Fernando Korn, et al.
Publicado: (2021)

Diabetic retinopathy screening and treatment through the Brazilian National Health Insurance
por: Fernandes, Arthur Gustavo, et al.
Publicado: (2022)

Comment on “Artificial intelligence and machine learning in pediatrics and neonatology healthcare”
por: Malerbi, Fernando Korn, et al.
Publicado: (2022)

Artificial intelligence promotes the diagnosis and screening of diabetic retinopathy
por: Huang, Xuan, et al.
Publicado: (2022)

Diagnostic Accuracy of Automated Diabetic Retinopathy Image Assessment Softwares: IDx-DR and Medios Artificial Intelligence
por: Grzybowski, Andrzej, et al.
Publicado: (2023)

Diagnostic test accuracy of artificial intelligence in screening for referable diabetic retinopathy in real-world settings: A systematic review and meta-analysis
por: Uy, Holijah, et al.
Publicado: (2023)

Artificial intelligence for diabetic retinopathy
por: Li, Sicong, et al.
Publicado: (2022)

Application Research of Artificial Intelligence Screening System for Diabetic Retinopathy
por: Wang, Yuwen, et al.
Publicado: (2022)

Using artificial intelligence for diabetic retinopathy screening: Policy implications
por: Raman, Rajiv, et al.
Publicado: (2021)

Test accuracy of artificial intelligence-based grading of fundus images in diabetic retinopathy screening: A systematic review
por: Zhelev, Zhivko, et al.
Publicado: (2023)

Cost-effectiveness of artificial intelligence screening for diabetic retinopathy in rural China
por: Huang, Xiao-Mei, et al.
Publicado: (2022)

Digital Education for the Deployment of Artificial Intelligence in Health Care
por: Malerbi, Fernando Korn, et al.
Publicado: (2023)

How to Determine If One Diagnostic Method, Such as an Artificial Intelligence Model, is Superior to Another: Beyond Performance Metrics
por: Park, Seong Ho, et al.
Publicado: (2023)

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening
por: Xie, Yuchen, et al.
Publicado: (2020)

Clinical validation of an artificial intelligence-based diabetic retinopathy screening tool for a national health system
por: Arenas-Cavalli, José Tomás, et al.
Publicado: (2021)

Global disparity bias in ophthalmology artificial intelligence applications
por: Nakayama, Luis Filipe, et al.
Publicado: (2022)

Diabetic and Hypertensive Retinopathy Screening in Fundus Images Using Artificially Intelligent Shallow Architectures
por: Arsalan, Muhammad, et al.
Publicado: (2021)

Artificial Intelligence Improves Patient Follow-Up in a Diabetic Retinopathy Screening Program
por: Dow, Eliot R, et al.
Publicado: (2023)

Correction: Clinical validation of an artificial intelligence-based diabetic retinopathy screening tool for a national health system
por: Arenas-Cavalli, José Tomás, et al.
Publicado: (2021)

Strabismus and Artificial Intelligence App: Optimizing Diagnostic and Accuracy
por: de Figueiredo, Laura Alves, et al.
Publicado: (2021)

Diabetic retinopathy screening in urban primary care setting with a handheld smartphone-based retinal camera
por: Queiroz, Márcia Silva, et al.
Publicado: (2020)

Editorial on Special Issue “Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases”
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2022)

Artificial intelligence-enabled screening for diabetic retinopathy: a real-world, multicenter and prospective study
por: Zhang, Yifei, et al.
Publicado: (2020)

Screening for Diabetic Retinopathy in Endocrinology Clinics by Using Handheld Cameras and Applying Artificial Intelligence Algorithms
por: Dvey-Aharon, Zack, et al.
Publicado: (2021)

Commentary: Smartphone imaging integrated with offline artificial intelligence – A boon for the screening of diabetic retinopathy
por: Ramasamy, Kim, et al.
Publicado: (2021)

Is Artificial Intelligence the Cost-Saving Lens to Diabetic Retinopathy Screening in Low- and Middle-Income Countries?
por: Rizvi, Anza, et al.
Publicado: (2023)

Planning an artificial intelligence diabetic retinopathy screening program: a human-centered design approach
por: Scanzera, Angelica C., et al.
Publicado: (2023)

Artificial Intelligence for Diabetic Retinopathy Screening Using Color Retinal Photographs: From Development to Deployment
por: Grzybowski, Andrzej, et al.
Publicado: (2023)

Clinical validation of a smartphone-based retinal camera for diabetic retinopathy screening
por: de Oliveira, Juliana Angélica Estevão, et al.
Publicado: (2023)

Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom
por: Car, Josip, et al.
Publicado: (2019)

Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia
por: Cole, Emily, et al.
Publicado: (2022)

Beyond Artificial Intelligence
por: Cardon, Alain
Publicado: (2018)

An overview of artificial intelligence in diabetic retinopathy and other ocular diseases
por: Sheng, Bin, et al.
Publicado: (2022)

Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy
Publicado: (2022)

Artificial intelligence in diabetic retinopathy: A natural step to the future
por: Padhy, Srikanta Kumar, et al.
Publicado: (2019)

The Diagnostic and Triage Accuracy of the GPT-3 Artificial Intelligence Model
por: Levine, David M, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_hgrmfro1gli4qc697rns0vd85j