AIMC Topic: Disease Progression
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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...
Artificial intelligence in predicting chronic kidney disease prognosis. A systematic review and meta-analysis.
Renal failure
Dec 11, 2024
BACKGROUND: Chronic kidney disease (CKD) is a common condition that can lead to serious health complications. Artificial Intelligence (AI) has shown the potential to improve the prediction of CKD progression, offering increased accuracy over traditio...
Digital Pathology-based Artificial Intelligence Biomarker Validation in Metastatic Prostate Cancer.
European urology oncology
Dec 10, 2024
BACKGROUND AND OBJECTIVE: Owing to the expansion of treatment options for metastatic hormone-sensitive prostate cancer (mHSPC) and an appreciation of clinical subgroups with differential prognosis and treatment responses, prognostic and predictive bi...
MicroRNA signature for early prediction of knee osteoarthritis structural progression using integrated machine and deep learning approaches.
Osteoarthritis and cartilage
Nov 29, 2024
OBJECTIVE: Conventional methodologies are ineffective in predicting the rapid progression of knee osteoarthritis (OA). MicroRNAs (miRNAs) show promise as biomarkers for patient stratification. We aimed to develop a miRNA prognosis model for identifyi...
Thickness Speed Progression Index: Machine Learning Approach for Keratoconus Detection.
American journal of ophthalmology
Nov 27, 2024
PURPOSE: To develop and validate a pachymetry-based machine learning (ML) index for differentiating keratoconus, keratoconus suspect, and normal corneas.
Effective Alzheimer's disease detection using enhanced Xception blending with snapshot ensemble.
Scientific reports
Nov 26, 2024
Alzheimer's disease (AD), a prevalent neurodegenerative disorder, leads to progressive dementia, which impairs decision-making, problem-solving, and communication. While there is no cure, early detection can facilitate treatments to slow its progress...
Long-Term Efficacy of an AI-Based Health Coaching Mobile App in Slowing the Progression of Nondialysis-Dependent Chronic Kidney Disease: Retrospective Cohort Study.
Journal of medical Internet research
Nov 25, 2024
BACKGROUND: Chronic kidney disease (CKD) is a significant public health concern. Therefore, practical strategies for slowing CKD progression and improving patient outcomes are imperative. There is limited evidence to substantiate the efficacy of mobi...
Establishing a machine learning dementia progression prediction model with multiple integrated data.
BMC medical research methodology
Nov 22, 2024
OBJECTIVE: Dementia is a significant medical and social issue in most developed countries. Practical tools for predicting the progression of degenerative dementia are highly valuable. Machine learning (ML) methods facilitate the construction of effec...
Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.
The British journal of ophthalmology
Nov 22, 2024
BACKGROUND/AIMS: To design a deep learning (DL) model for the detection of glaucoma progression with a longitudinal series of macular optical coherence tomography angiography (OCTA) images.
Humans
Retrospective Studies
Female
Aged
Optic Disk
Retinal Ganglion Cells
Visual Fields
Visual Field Tests
Fluorescein Angiography
Macula Lutea
Retinal Vessels
Glaucoma, Open-Angle
Deep Learning
Intraocular Pressure
Male
ROC Curve
Middle Aged
Follow-Up Studies
Disease Progression
Tomography, Optical Coherence
Quantification of coronary artery calcification in systemic sclerosis using visual ordinal and deep learning scoring: Association with systemic sclerosis clinical features.
Seminars in arthritis and rheumatism
Nov 20, 2024
OBJECTIVE: To investigate the association between systemic sclerosis (SSc) clinical features and the extent and progression of coronary artery calcifications.
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