AIMC Topic: Disease Progression
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Predicting long-term progression of Alzheimer's disease using a multimodal deep learning model incorporating interaction effects.
Journal of translational medicine
Mar 11, 2024
BACKGROUND: Identifying individuals with mild cognitive impairment (MCI) at risk of progressing to Alzheimer's disease (AD) provides a unique opportunity for early interventions. Therefore, accurate and long-term prediction of the conversion from MCI...
Interpretable and Intuitive Machine Learning Approaches for Predicting Disability Progression in Relapsing-Remitting Multiple Sclerosis Based on Clinical and Gray Matter Atrophy Indicators.
Academic radiology
Feb 29, 2024
RATIONALE AND OBJECTIVES: To investigate whether clinical and gray matter (GM) atrophy indicators can predict disability in relapsing-remitting multiple sclerosis (RRMS) and to enhance the interpretability and intuitiveness of a predictive machine le...
Predicting the Rapid Progression of Mild Cognitive Impairment by Intestinal Flora and Blood Indicators through Machine Learning Method.
Neuro-degenerative diseases
Feb 28, 2024
INTRODUCTION: The aim of the work was to establish a prediction model of mild cognitive impairment (MCI) progression based on intestinal flora by machine learning method.
Exploring subtypes of multiple sclerosis through unsupervised machine learning of automated fiber quantification.
Japanese journal of radiology
Feb 27, 2024
PURPOSE: This study aimed to subtype multiple sclerosis (MS) patients using unsupervised machine learning on white matter (WM) fiber tracts and investigate the implications for cognitive function and disability outcomes.
Prediction of Hematoma Expansion in Intracerebral Hemorrhage in 24 Hours by Machine Learning Algorithm.
World neurosurgery
Feb 22, 2024
OBJECTIVE: The significance of noncontrast computer tomography (CT) image markers in predicting hematoma expansion (HE) following intracerebral hemorrhage (ICH) within different time intervals in the initial 24 hours after onset may be uncertain. Hen...
Predictive deep learning models for cognitive risk using accessible data.
Bioscience trends
Feb 20, 2024
The early detection of mild cognitive impairment (MCI) is crucial to preventing the progression of dementia. However, it necessitates that patients voluntarily undergo cognitive function tests, which may be too late if symptoms are only recognized on...
Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning.
American journal of ophthalmology
Feb 12, 2024
PURPOSE: Identifying glaucoma patients at high risk of progression based on widely available structural data is an unmet task in clinical practice. We test the hypothesis that baseline or serial structural measures can predict visual field (VF) progr...
Intraocular Pressure
Male
Middle Aged
Disease Progression
Algorithms
Retrospective Studies
Female
Aged
Area Under Curve
Tomography, Optical Coherence
Nerve Fibers
Optic Disk
Deep Learning
ROC Curve
Follow-Up Studies
Vision Disorders
Humans
Glaucoma
Glaucoma, Open-Angle
Retinal Ganglion Cells
Visual Fields
Visual Field Tests
Optic Nerve Diseases
A multi-label transformer-based deep learning approach to predict focal visual field progression.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Feb 9, 2024
PURPOSE: Tracking functional changes in visual fields (VFs) through standard automated perimetry remains a clinical standard for glaucoma diagnosis. This study aims to develop and evaluate a deep learning (DL) model to predict regional VF progression...
AI-Assisted Summarization of Radiologic Reports: Evaluating GPT3davinci, BARTcnn, LongT5booksum, LEDbooksum, LEDlegal, and LEDclinical.
AJNR. American journal of neuroradiology
Feb 7, 2024
BACKGROUND AND PURPOSE: The review of clinical reports is an essential part of monitoring disease progression. Synthesizing multiple imaging reports is also important for clinical decisions. It is critical to aggregate information quickly and accurat...
Time-domain heart rate dynamics in the prognosis of progressive atherosclerosis.
Nutrition, metabolism, and cardiovascular diseases : NMCD
Jan 14, 2024
BACKGROUND AND AIM: The regular uptake of a high-fat diet (HFD) with changing lifestyle causes atherosclerosis leading to cardiovascular diseases and autonomic dysfunction. Therefore, the current study aimed to investigate the correlation of autonomi...
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