Artificial intelligence-based methods for fusion of electronic health records and imaging data
Healthcare data are inherently multimodal, including electronic health records (EHR),
medical images, and multi-omics data. Combining these multimodal data sources …
medical images, and multi-omics data. Combining these multimodal data sources …
Unveiling new strategies facilitating the implementation of artificial intelligence in neuroimaging for the early detection of Alzheimer's disease
MO Etekochay, AR Amaravadhi… - Journal of …, 2024 - content.iospress.com
Alzheimer's disease (AD) is a chronic neurodegenerative disorder with a global impact. The
past few decades have witnessed significant strides in comprehending the underlying …
past few decades have witnessed significant strides in comprehending the underlying …
Multimodal ensemble model for Alzheimer's disease conversion prediction from Early Mild Cognitive Impairment subjects
Alzheimer's Disease (AD) is the most common type of dementia. Predicting the conversion to
Alzheimer's from the mild cognitive impairment (MCI) stage is a complex problem that has …
Alzheimer's from the mild cognitive impairment (MCI) stage is a complex problem that has …
Screening strategies and dynamic risk prediction models for Alzheimer's disease
X Ge, K Cui, Y Qin, D Chen, H Han, H Yu - Journal of psychiatric research, 2023 - Elsevier
Background Characterizing the progression from Mild cognitive impairment (MCI) to
Alzheimer's disease (AD) is essential for early AD prevention and targeted intervention. Our …
Alzheimer's disease (AD) is essential for early AD prevention and targeted intervention. Our …
Apathy as a predictor of conversion from mild cognitive impairment to Alzheimer's disease: a Texas Alzheimer's Research and Care Consortium (TARCC) cohort …
Background: Apathy is among the neuropsychiatric symptoms frequently observed in people
with cognitive impairment. It has been postulated to be a potential predictor of conversion …
with cognitive impairment. It has been postulated to be a potential predictor of conversion …
A Deep Longitudinal Model for Mild Cognitive Impairment to Alzheimer's Disease Conversion Prediction in Low‐Income Countries
Alzheimer's disease (AD) is a progressive and fatal disease, due to the nonavailability of any
permanent cure. Some treatments are under experimentation that can slow down and …
permanent cure. Some treatments are under experimentation that can slow down and …
A multimodal machine learning model for predicting dementia conversion in Alzheimer's disease
Alzheimer's disease (AD) accounts for 60–70% of the population with dementia. Mild
cognitive impairment (MCI) is a diagnostic entity defined as an intermediate stage between …
cognitive impairment (MCI) is a diagnostic entity defined as an intermediate stage between …
Intelligent prediction of Alzheimer's disease via improved multifeature squeeze-and-excitation-dilated residual network
Z Yuan, X Li, Z Hao, Z Tang, X Yao, T Wu - Scientific Reports, 2024 - nature.com
This study aimed to address the issue of larger prediction errors existing in intelligent
predictive tasks related to Alzheimer's disease (AD). A cohort of 487 enrolled participants …
predictive tasks related to Alzheimer's disease (AD). A cohort of 487 enrolled participants …
Predicting Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using K-Means Clustering on MRI Data
M Bellezza, A di Palma, A Frosini - Information, 2024 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disorder that leads to the loss of cognitive
functions due to the deterioration of brain tissue. Current diagnostic methods are often …
functions due to the deterioration of brain tissue. Current diagnostic methods are often …
Overview of Artificial Intelligence Methods for Alzheimer's Disease Prediction and Progression
Years of dedicated experimental and clinical investigations have shed light on numerous
aspects of Alzheimer's disease (AD) pathogenesis. However, the are still many facets and …
aspects of Alzheimer's disease (AD) pathogenesis. However, the are still many facets and …