The Value of Automated Diabetic Retinopathy Screening with the EyeArt System: A Study of More Than 100,000 Consecutive Encounters from People with Diabetes
Bhaskaranand, Malavika, Ramachandra, Chaithanya, Bhat, Sandeep, Cuadros, Jorge, Nittala, Muneeswar G., Sadda, Srinivas R., Solanki, Kaushal·2019·Diabetes Technology & Therapeutics
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- Artificial intelligence for advancing eye care in resource-poor settings: Assessing the predictive accuracy of an AI-model for diabetic retinopathy screening in IndiaRohan Chawla, Prachi Karkhanis, Malay Shah, Aritra Das, Rishabh Sharma, Dhwani K. Almaula, Pradeep Venkatesh, Harsh Vardhan Singh, Mukul Kumar, Ramanuj Samanta et al. · 2025 · Global Epidemiology
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- Assessing Diabetic Retinopathy Staging With AI: A Comparative Analysis Between Pseudocolor and LED ImagingMaria Vittoria Cicinelli, Salvatore Gravina, Carola Rutigliani, Lisa Checchin, Lamberto La Franca, Rosangela Lattanzio, Francesco Maria Bandello · 2024 · Translational Vision Science & Technology
- Effectiveness of artificial intelligence for diabetic retinopathy screening in community in Binh Dinh Province, VietnamThanh Nguyen Van, Hoang Lan Vo Thi · 2024 · Taiwan Journal of Ophthalmology
- Rate and Predictors of Misclassification of Active Diabetic Macular Edema as Detected by an Automated Retinal Image Analysis SystemLamberto La Franca, Carola Rutigliani, Lisa Checchin, Rosangela Lattanzio, Francesco Maria Bandello, Maria Vittoria Cicinelli · 2024 · Ophthalmology and Therapy
- Deep semi-supervised and self-supervised learning for diabetic retinopathy detectionJose Arrieta, Oscar Perdómo, Fabio Augusto Gonzalez · 2023 · International Symposium on Medical Information Processing and Analysis (SIPAIM)
- The Seven Sins of Automated Diabetic Retinopathy Screening: Barriers for Clinical Implementation of Artificial Intelligence-Based Devices in National Screening ProgramsJakob Grauslund, Andrzej E. Grzybowski · 2025 · Ophthalmologica
- Artificial intelligence in primary health care: A bibliometric analysis of publications from 2015 to 2024Tianran Wang, Jinyu He, Wenxin Yan, Kaiyuan Chen, X. Zhang, Ning Zhang, Wannian Liang · 2026 · Digital Health
- Artificial intelligence in ophthalmology: from innovation to clinical integrationBharat Gurnani, Kirandeep Kaur · 2026 · Frontiers in Ophthalmology
- Role of Artificial Intelligence in Retinal DiseasesJulia Mai, Ursula Margarethe Schmidt-Erfurth · 2024 · Klinische Monatsblätter für Augenheilkunde
- Opportunities to Apply Human-centered Design in Health Care With Artificial Intelligence–based Screening for Diabetic RetinopathyPatricia Bai, Cameron Beversluis, Amy Song, Nylani Alicea, Yuval Eisenberg, Brian Thomas Layden, Angelica C. Scanzera, Ariel Leifer, Hugh Musick, R.V. Paul Chan · 2024 · International Ophthalmology Clinics
- Association Between Glycated Hemoglobin and Diabetic Retinopathy in Individuals with Diabetes: A Focus on the Modifying Effect of Ambulatory Blood PressureShenglan Yang, Hui Liu, Yao Liang, Lijing Wu, Qidong Zheng, Jing Wu · 2025 · Clinical Interventions in Aging
- Enhanced performance in automated diabetic retinopathy diagnosis achieved through Voronoi diagrams and artificial intelligenceMac Gayver da Silva Castro, Francisco Vagnaldo Fechine, Manoel Odorico de Moraes, Paulo Roberto Leitão de Vasconcelos, Conceição Aparecida Dornelas · 2025 · Scientific Reports
- A New Deep Learning Algorithm with Activation Mapping for Diabetic Retinopathy: Backtesting after 10 Years of Tele-OphthalmologyAlicia Ríos, Sabato Ceruso, Pedro Romero‐Aroca, Sergio Bonaque‐González · 2022 · Journal of Clinical Medicine
- A double-blinded study for quantifiable assessment of the diagnostic accuracy of AI tool “ADVEN-i” in identifying diseased fundus images including diabetic retinopathy on a retrospective dataMausumi Acharyya, Bruttendu Moharana, Sahil Jain, M Tandon · 2023 · Indian Journal of Ophthalmology
- Artificial Intelligence-Based Screening System for Diabetic Retinopathy in Primary CareM. Baget-Bernaldiz, Benilde Fontoba-Poveda, P. Romero-Aroca, Raul Navarro-Gil, Adriana Hernando-Comerma, Á. Bautista-Pérez, Monica Llagostera-Serra, Cristian Morente-Lorenzo, Montse Vizcarro, Alejandra Mira-Puerto · 2024 · Diagnostics
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- A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care dataHebatullah Mohamed Abdulazeem, Sera Whitelaw, Gunther Schauberger, Stefanie J. Klug · 2022 · medRxiv
- Referral uptake after diabetic retinopathy screening with artificial intelligence-assisted care pathways: a systematic review and meta-analysisLeigh, James A., Sherrington, Alex, Barber, Angus R. J., Turner, Angus W., Kidd, Michael, Powell, John, Pope, Catherine · 2026 · npj Digital Medicine
- Harnessing artificial intelligence for theragnostic applications: Current landscape and future directionsArundhati Pande, Abhishek Kumar, Ashish Prakash Anjankar · 2025 · Multidisciplinary Reviews
- Describing the Performance and the Infrastructure Requirements of the Existing Artificial Intelligence (AI)-Based Diabetic Retinopathy (DR) Screening Algorithms for Diabetic Patients: an Umbrella ReviewRachel Rehema Kabunga, Justus Asasira, Sheilah Njuki, Daniel Atwine, Katharine Morley, Michael G. Morley, Fred Kaggwa, Justin Cirhuza Cikomola, Arunga Simon · 2025 · Journal of Medical Systems
- Evaluation of the degree of agreement in the diagnosis of diabetic retinopathy between ophthalmologists and EyeArt®Isabel Inmaculada Guedes Guedes, Pedro Saavedra Santana, Francisco Antonio Cabrera López, Ángel Ramos Macías, Ángel Ramos de Miguel, Ayoze Nauzet González Hernández · 2025 · International Journal of Retina and Vitreous
- Patient Perspectives on Artificial Intelligence-Based Diabetic Retinopathy Screening at an Urban US Medical CenterZainab Rustam, Yangyiran Xie, Jose Amezcua Moreno, Diep Tran, Gina Zhu, Sophia E. Yu, Aregnazan Sandrosyan, Cindy Cai · 2026 · Clinical ophthalmology
- AI-driven retinal image quality monitoring in diabetic retinopathy screening: A retrospective study identifying actionable insights to improve imaging protocolsImanol Pinto, Álvaro Olazarán, David Jurio, Borja de la Osa, Miguel Sainz, Aritz Oscoz, Jerónimo Ballaz, Javier Gorricho, Mikel Galar, José Andonegui · 2026 · Comput. Medical Imaging Graph.
- Application of the Full‐Width‐at‐Half‐Maximum Image Segmentation Method to Analyse Retinal Vascular Changes in Patients with Diabetic RetinopathyBo Lun Xu, Yi Jie Li, Wen Li Zhou, Ke Yun Cheng, Hai Jing Zhan, Li Gang Jiang, Yuhua Tong · 2022 · Journal of Healthcare Engineering
- Therapies for Geographic AtrophySuzie A. Gasparian, Henry C. Skrehot, Christina Y. Weng · 2023 · International Ophthalmology Clinics
- Advances in Teleophthalmology Screening for Diabetic RetinopathyAilin Song, Durga S. Borkar · 2023 · International Ophthalmology Clinics
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- Artificial Intelligence, Cybersight Detection of Diabetic Retinopathy in the Elderly in VietnamHa Luong Thi Hai, Trong Van Pham, Tung Quoc Mai, Minh Dang Duc, Quang Nguyen Viet, Tran Tran Tuan · 2024 · Journal of Current Science and Technology
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- Diabetic retinopathy screening and treatmentTobias Primdahl Holst Nissen · 2023 · VBN Forskningsportal (Aalborg Universitet)
- Revolutionizing Diabetic Retinopathy Diagnosis in Third World Countries: The Transformative Potential of Smartphone-Based AIDaksh Dave, Gauransh Sawhney · 2023
- RetinaFusion: A Comprehensive Ensemble for Diabetic Eye CarePrayash Gupta, Ujjwal Ujjwal, J. Selvin Paul Peter, B. Priya Esther · 2024 · International Conference on Data Engineering and Communication Systems (ICDECS)
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- Diagnostic utility of artificial intelligence software through non-mydriatic digital retinography in the screening of diabetic retinopathy: an overview of reviewsAgustín Ciapponi, Jamile Ballivian, Carolina Gentile, Jhonatan R. Mejia, Jessica Ruiz‐Baena, Ariel Bardach · 2025 · Eye
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