AIMC Topic: Diabetes Mellitus
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Protocol for metadata and image collection at diabetic foot ulcer clinics: enabling research in wound analytics and deep learning.
Biomedical engineering online
Jan 29, 2024
BACKGROUND: The escalating impact of diabetes and its complications, including diabetic foot ulcers (DFUs), presents global challenges in quality of life, economics, and resources, affecting around half a billion people. DFU healing is hindered by hy...
Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians.
The British journal of ophthalmology
Jan 29, 2024
BACKGROUND/AIMS: Deep learning systems (DLSs) for diabetic retinopathy (DR) detection show promising results but can underperform in racial and ethnic minority groups, therefore external validation within these populations is critical for health equi...
inhibition of biofilm and virulence factor production in azole-resistant strains of isolated from diabetic foot by stabilized tin (IV) oxide nanoparticles.
Frontiers in cellular and infection microbiology
Jan 25, 2024
The advent of nanotechnology has been instrumental in the development of new drugs with novel targets. Recently, metallic nanoparticles have emerged as potential candidates to combat the threat of drug-resistant infections. Diabetic foot ulcers (DFUs...
Development and application of Chinese medical ontology for diabetes mellitus.
BMC medical informatics and decision making
Jan 19, 2024
OBJECTIVE: To develop a Chinese Diabetes Mellitus Ontology (CDMO) and explore methods for constructing high-quality Chinese biomedical ontologies.
The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review.
Journal of medical Internet research
Jan 19, 2024
BACKGROUND: Diabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the transparency, replicability, biasedness, and overall validity of artificial int...
DiaNet v2 deep learning based method for diabetes diagnosis using retinal images.
Scientific reports
Jan 18, 2024
Diabetes mellitus (DM) is a prevalent chronic metabolic disorder linked to increased morbidity and mortality. With a significant portion of cases remaining undiagnosed, particularly in the Middle East North Africa (MENA) region, more accurate and acc...
Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network.
Computers in biology and medicine
Jan 17, 2024
Accurate segmentation of the pancreas from abdominal computed tomography (CT) images is challenging but essential for the diagnosis and treatment of pancreatic disorders such as tumours and diabetes. In this study, a dataset with 229 sets of high-res...
Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models.
Frontiers in public health
Jan 15, 2024
INTRODUCTION: Decades of research have established the association between adverse childhood experiences (ACEs) and adult onset of chronic diseases, influenced by health behaviors and social determinants of health (SDoH). Machine Learning (ML) is a p...
Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities.
IEEE reviews in biomedical engineering
Jan 12, 2024
OBJECTIVE: Artificial intelligence and machine learning are transforming many fields including medicine. In diabetes, robust biosensing technologies and automated insulin delivery therapies have created a substantial opportunity to improve health. Wh...
A Review of Image-Based Food Recognition and Volume Estimation Artificial Intelligence Systems.
IEEE reviews in biomedical engineering
Jan 12, 2024
The daily healthy diet and balanced intake of essential nutrients play an important role in modern lifestyle. The estimation of a meal's nutrient content is an integral component of significant diseases, such as diabetes, obesity and cardiovascular d...
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