AIMC Topic: Diabetes Mellitus
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Noninvasive blood glucose sensing by secondary speckle pattern artificial intelligence analyses.
Journal of biomedical optics
Aug 1, 2023
SIGNIFICANCE: Diabetes is a prevalent disease worldwide that can cause severe health problems. Accurate blood glucose detection is crucial for diabetes management, and noninvasive methods can be more convenient and less painful than traditional finge...
Elastic Deformation of Optical Coherence Tomography Images of Diabetic Macular Edema for Deep-Learning Models Training: How Far to Go?
IEEE journal of translational engineering in health and medicine
Jul 24, 2023
UNLABELLED: - Objective: To explore the clinical validity of elastic deformation of optical coherence tomography (OCT) images for data augmentation in the development of deep-learning model for detection of diabetic macular edema (DME).
Attention-based deep learning framework to recognize diabetes disease from cellular retinal images.
Biochemistry and cell biology = Biochimie et biologie cellulaire
Jul 20, 2023
A medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Many people are visually impaired due to DR. Primary cause of DR in patients is high blood sugar, and it affects blood vessels available in the retinal cel...
Explainable artificial intelligence on life satisfaction, diabetes mellitus and its comorbid condition.
Scientific reports
Jul 19, 2023
This study uses artificial intelligence for testing (1) whether the comorbidity of diabetes and its comorbid condition is very strong in the middle-aged or old (hypothesis 1) and (2) whether major determinants of the comorbidity are similar for diffe...
URNet: System for recommending referrals for community screening of diabetic retinopathy based on deep learning.
Experimental biology and medicine (Maywood, N.J.)
Jul 19, 2023
Diabetic retinopathy (DR) will cause blindness if the detection and treatment are not carried out in the early stages. To create an effective treatment strategy, the severity of the disease must first be divided into referral-warranted diabetic retin...
Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.
Scientific reports
Jul 16, 2023
Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajectories, and outcomes. The aim of this study is to validate a novel machine learning method for the phenotyping of diabetes in the context of comorbiditie...
Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy.
Sensors (Basel, Switzerland)
Jun 19, 2023
Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the human eye and potentially leading to permanent blindness. The early detection of DR is crucial for effective treatment, as symptoms often manifest in later stages...
Deep learning for automated detection of neovascular leakage on ultra-widefield fluorescein angiography in diabetic retinopathy.
Scientific reports
Jun 6, 2023
Diabetic retinopathy is a leading cause of blindness in working-age adults worldwide. Neovascular leakage on fluorescein angiography indicates progression to the proliferative stage of diabetic retinopathy, which is an important distinction that requ...
A diabetes prediction model based on Boruta feature selection and ensemble learning.
BMC bioinformatics
Jun 1, 2023
BACKGROUND AND OBJECTIVE: As a common chronic disease, diabetes is called the "second killer" among modern diseases. Currently, there is no medical cure for diabetes. We can only rely on medication for auxiliary treatment. However, many diabetic pati...
Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 29, 2023
A hospital readmission risk prediction tool for patients with diabetes based on electronic health record (EHR) data is needed. The optimal modeling approach, however, is unclear. In 2,836,569 encounters of 36,641 diabetes patients, deep learning (DL)...
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