AIMC Topic: Diabetes Mellitus

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Identifying Reasons for Statin Nonuse in Patients With Diabetes Using Deep Learning of Electronic Health Records.

Journal of the American Heart Association Mar 28, 2023
Background Statins are guideline-recommended medications that reduce cardiovascular events in patients with diabetes. Yet, statin use is concerningly low in this high-risk population. Identifying reasons for statin nonuse, which are typically describ...
Aged Adult Female Risk Factors Deep Learning Diabetes Mellitus Hydroxymethylglutaryl-CoA Reductase Inhibitors Male Middle Aged Humans Electronic Health Records
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Using ChatGPT to Predict the Future of Diabetes Technology.

Journal of diabetes science and technology Feb 17, 2023
Humans Artificial Intelligence Diabetes Mellitus
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The impact of diabetes mellitus on pelvic organ prolapse recurrence after robotic sacrocolpopexy.

International urogynecology journal Feb 13, 2023
INTRODUCTION AND HYPOTHESIS: Data examining the effect of diabetes mellitus (DM) on prolapse recurrence after sacrocolpopexy (SCP) is limited. The primary objective of this study was to determine if DM affects prolapse recurrence after robotic SCP.
Humans Retrospective Studies Female Gynecologic Surgical Procedures Robotics Treatment Outcome Pelvic Organ Prolapse Recurrence Robotic Surgical Procedures Diabetes Mellitus
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Deep Learning and Medical Image Processing Techniques for Diabetic Retinopathy: A Survey of Applications, Challenges, and Future Trends.

Journal of healthcare engineering Feb 2, 2023
Diabetic retinopathy (DR) is a common eye retinal disease that is widely spread all over the world. It leads to the complete loss of vision based on the level of severity. It damages both retinal blood vessels and the eye's microscopic interior layer...
Humans Deep Learning Image Processing, Computer-Assisted Diabetic Retinopathy Diabetes Mellitus Retina
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Deep learning-based hemorrhage detection for diabetic retinopathy screening.

Scientific reports Jan 27, 2023
Diabetic retinopathy is a retinal compilation that causes visual impairment. Hemorrhage is one of the pathological symptoms of diabetic retinopathy that emerges during disease development. Therefore, hemorrhage detection reveals the presence of diabe...
Fundus Oculi Neural Networks, Computer Algorithms Deep Learning Diabetes Mellitus Humans Prospective Studies Diabetic Retinopathy
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Using deep learning to detect diabetic retinopathy on handheld non-mydriatic retinal images acquired by field workers in community settings.

Scientific reports Jan 25, 2023
Diabetic retinopathy (DR) at risk of vision loss (referable DR) needs to be identified by retinal screening and referred to an ophthalmologist. Existing automated algorithms have mostly been developed from images acquired with high cost mydriatic ret...
Mydriatics Retina Photography Sensitivity and Specificity Deep Learning Mass Screening Diagnostic Imaging Diabetes Mellitus Diabetic Retinopathy Prospective Studies Humans
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Disease-specific data processing: An intelligent digital platform for diabetes based on model prediction and data analysis utilizing big data technology.

Frontiers in public health Dec 12, 2022
BACKGROUND: Artificial intelligence technology has become a mainstream trend in the development of medical informatization. Because of the complex structure and a large amount of medical data generated in the current medical informatization process, ...
Big Data Technology Diabetes Mellitus China Humans Artificial Intelligence
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Diabetes disease detection and classification on Indian demographic and health survey data using machine learning methods.

Diabetes & metabolic syndrome Dec 5, 2022
BACKGROUND & AIM: Diabetes mellitus has become one of the out brakes causing major health issues in developing countries like India. The need for leveraging technology is felt in diabetes management. The main objective of this work is to deploy machi...
Demography Diabetes Mellitus Bayes Theorem Machine Learning Risk Factors Humans
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Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study.

Frontiers in endocrinology Nov 28, 2022
BACKGROUND: Opportunely screening for diabetes is crucial to reduce its related morbidity, mortality, and socioeconomic burden. Machine learning (ML) has excellent capability to maximize predictive accuracy. We aim to develop ML-augmented models for ...
Mass Screening Primary Health Care Machine Learning Diabetes Mellitus Algorithms Humans
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Artificial intelligence based prediction models for individuals at risk of multiple diabetic complications: A systematic review of the literature.

Journal of nursing management Nov 23, 2022
AIM: The aim of this review is to examine the effectiveness of artificial intelligence in predicting multimorbid diabetes-related complications.
Humans Bayes Theorem Artificial Intelligence Diabetes Mellitus Quality of Life
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