AIMC Topic: Early Diagnosis
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Early detection of high blood pressure from natural speech sounds with graph diffusion network.
Computers in biology and medicine
Dec 22, 2024
This study presents an innovative approach to cuffless blood pressure prediction by integrating speech and demographic features. With a focus on non-invasive monitoring, especially in remote regions, our model harnesses speech signals and demographic...
A comprehensive review on early detection of drusen patterns in age-related macular degeneration using deep learning models.
Photodiagnosis and photodynamic therapy
Dec 22, 2024
Age-related Macular Degeneration (AMD) is a leading cause of visual impairment and blindness that affects the eye from the age of fifty-five and older. It impacts on the retina, the light-sensitive layer of the eye. In early AMD, yellowish deposits c...
Advances in Machine Learning-Aided Thermal Imaging for Early Detection of Diabetic Foot Ulcers: A Review.
Biosensors
Dec 13, 2024
The prevention and early warning of foot ulcers are crucial in diabetic care; however, early microvascular lesions are difficult to detect and often diagnosed at later stages, posing serious health risks. Infrared thermal imaging, as a rapid and non-...
A machine learning approach for identifying anatomical biomarkers of early mild cognitive impairment.
PeerJ
Dec 13, 2024
BACKGROUND: Alzheimer's Disease (AD) poses a major challenge as a neurodegenerative disorder, and early detection is critical for effective intervention. Magnetic resonance imaging (MRI) is a critical tool in AD research due to its availability and c...
Random survival forest model for early prediction of Alzheimer's disease conversion in early and late Mild cognitive impairment stages.
PloS one
Dec 13, 2024
With a clinical trial failure rate of 99.6% for Alzheimer's Disease (AD), early diagnosis is critical. Machine learning (ML) models have shown promising results in early AD prediction, with survival ML models outperforming typical classifiers by prov...
Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach.
Journal of medical Internet research
Dec 11, 2024
BACKGROUND: The possible association between diabetes mellitus and dementia has raised concerns, given the observed coincidental occurrences.
Machine Learning Models as Early Warning Systems for Neonatal Infection.
Clinics in perinatology
Nov 27, 2024
Neonatal infections pose a significant threat to the health of newborns. Associated morbidity and mortality risks underscore the urgency of prompt diagnosis and treatment with appropriate empiric antibiotics. Delay in treatment can be fatal; thus, ea...
Identification of a machine learning-based diagnostic model for axial spondyloarthritis in rheumatological routine care using a random forest approach.
RMD open
Nov 27, 2024
OBJECTIVES: In axial spondyloarthritis (axSpA), early diagnosis is crucial, but diagnostic delay remains long and diagnostic criteria do not exist. We aimed to identify a diagnostic model that distinguishes patients with axSpA from patients without a...
Early diagnostic value of home video-based machine learning in autism spectrum disorder: a meta-analysis.
European journal of pediatrics
Nov 21, 2024
UNLABELLED: Machine learning (ML) based on remote video has shown ideal diagnostic value in autism spectrum disorder (ASD). Here, we conducted a meta-analysis of the diagnostic value of home video-based ML in ASD. Relevant articles were systematicall...
Explainable Deep Learning Approaches for Risk Screening of Periodontitis.
Journal of dental research
Nov 19, 2024
Several pieces of evidence have been reported regarding the association between periodontitis and systemic diseases. Despite the emphasized significance of prevention and early diagnosis of periodontitis, there is still a lack of a clinical tool for ...
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