Use of artificial intelligence with retinal imaging in screening for diabetes-associated complications: systematic review

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

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Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes

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Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

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Artificial Intelligence and Deep Learning in Ophthalmology

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A foundation model for generalizable disease detection from retinal images

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Guidelines on Diabetic Eye Care

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Artificial intelligence in retina

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<i>Standards of Medical Care in Diabetes—2022</i> Abridged for Primary Care Providers

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Medical Imaging 2015: Computer-Aided Diagnosis

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Diabetic retinopathy: Looking forward to 2030

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Pathogenesis, diagnosis and clinical management of diabetic sensorimotor peripheral neuropathy

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Automated Analysis of Retinal Images for Detection of Referable Diabetic Retinopathy

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11. Microvascular Complications and Foot Care: <i>Standards of Medical Care in Diabetes−2020</i>

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Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study

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Brain age prediction using deep learning uncovers associated sequence variants

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Artificial intelligence for diabetic retinopathy screening: a review

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Meta-analysis: Retinal Vessel Caliber and Risk for Coronary Heart Disease

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Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images

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A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre

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US Renal Data System 2021 Annual Data Report: Epidemiology of Kidney Disease in the United States

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Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study

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A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations

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A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study

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Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy

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Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs

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Retinal age gap as a predictive biomarker for mortality risk

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Retinal Vessel Caliber and Microvascular and Macrovascular Disease in Type 2 Diabetes

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Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application

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Retinal Imaging Techniques for Diabetic Retinopathy Screening

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Deep Learning of the Retina Enables Phenome- and Genome-Wide Analyses of the Microvasculature

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Point-of-Care Screening for Heart Failure with Reduced Ejection Fraction Using Artificial Intelligence during ECG-Enabled Stethoscope Examination in London, UK: A Prospective, Observational, Multicentre Study

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Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases

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Convolutional neural network to identify symptomatic Alzheimer’s disease using multimodal retinal imaging

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CKD Awareness Among US Adults by Future Risk of Kidney Failure

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Prediction of hypertension, hyperglycemia and dyslipidemia from retinal fundus photographs via deep learning: A cross-sectional study of chronic diseases in central China

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A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography

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Association of Cardiovascular Mortality and Deep Learning-Funduscopic Atherosclerosis Score derived from Retinal Fundus Images

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Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk

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Nutrition in Kidney Disease: Core Curriculum 2022

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Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development

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Retinal age gap as a predictive biomarker of future risk of Parkinson’s disease

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Retinal age gap as a predictive biomarker of stroke risk

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Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning

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Quantitative Microvascular Analysis With Wide-Field Optical Coherence Tomography Angiography in Eyes With Diabetic Retinopathy

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DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only

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Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images

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Retinal Vessel Calibers Predict Long-term Microvascular Complications in Type 1 Diabetes: The Danish Cohort of Pediatric Diabetes 1987 (DCPD1987)

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Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial

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Age and sex affect deep learning prediction of cardiometabolic risk factors from retinal images

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Association of Retinal Age Gap With Arterial Stiffness and Incident Cardiovascular Disease

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Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke

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Retinal vessel calibre and micro- and macrovascular complications in type 1 diabetes

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Retinal Imaging-Based Oculomics: Artificial Intelligence as a Tool in the Diagnosis of Cardiovascular and Metabolic Diseases

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Safety and Feasibility of a Novel Sparse Optical Coherence Tomography Device for Patient-Delivered Retina Home Monitoring

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Deep Learning–Based Detection of Early Renal Function Impairment Using Retinal Fundus Images: Model Development and Validation

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Sensitivity and specificity of automated analysis of single-field non-mydriatic fundus photographs by Bosch DR Algorithm—Comparison with mydriatic fundus photography (ETDRS) for screening in undiagnosed diabetic retinopathy

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Predicting the onset of diabetes-related complications after a diabetes diagnosis with machine learning algorithms

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Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning

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Application of a deep-learning marker for morbidity and mortality prediction derived from retinal photographs: a cohort development and validation study

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Retinal microvascular signs in COVID-19

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Detection of smoking status from retinal images; a Convolutional Neural Network study

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Cerebrovascular Reactivity in Patients With Small Vessel Disease: A Cross-Sectional Study

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Prediction of Major Adverse Cardiovascular Events From Retinal, Clinical, and Genomic Data in Individuals With Type 2 Diabetes: A Population Cohort Study

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Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors

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TranSegNet: Hybrid CNN-Vision Transformers Encoder for Retina Segmentation of Optical Coherence Tomography

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Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes

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Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China

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Retinal Microvascular Abnormalities and Risk of Renal Failure in Asian Populations

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Diabetes mellitus in peripheral artery disease: Beyond a risk factor

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Deep Learning-Based Classification and Feature Extraction for Predicting Pathogenesis of Foot Ulcers in Patients with Diabetes

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Performance of Artificial Intelligence in Detecting Diabetic Macular Edema From Fundus Photography and Optical Coherence Tomography Images: A Systematic Review and Meta-analysis

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Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography

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Determining direct, indirect healthcare and social costs for diabetic retinopathy management: a systematic review

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Predicting Systemic Health Features from Retinal Fundus Images Using Transfer-Learning-Based Artificial Intelligence Models

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A deep learning model for screening type 2 diabetes from retinal photographs

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The Retina as a Window to Metal-Induced Neurotoxicity

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Neurovascular Dysfunction in Retinal Diseases: Biological Mechanisms and Emerging AI-based diagnostic approaches

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USO DA INTELIGÊNCIA ARTIFICIAL NO DIAGNÓSTICO E ACOMPANHAMENTO DAS DOENÇAS DA RETINA

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Artificial Intelligence for Early Detection of Diabetic Retinopathy

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