[HTML][HTML] Applications of artificial intelligence to aid early detection of dementia: a scoping review on current capabilities and future directions
Abstract Background & Objective With populations aging, the number of people with
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …
Interpretability of Machine Learning Methods Applied to Neuroimaging
Deep learning methods have become very popular for the processing of natural images and
were then successfully adapted to the neuroimaging field. As these methods are non …
were then successfully adapted to the neuroimaging field. As these methods are non …
Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease
Deep learning has the potential to standardize and automate diagnostics for complex
medical imaging data, but real-world clinical images are plagued by a high degree of …
medical imaging data, but real-world clinical images are plagued by a high degree of …
A systematic review and future perspective of mental illness detection using artificial intelligence on multimodal digital media
U Ananthanagu, P Agarwal - … Systems: Selected Papers of WorldS4 2022 …, 2023 - Springer
In recent couple of years, social media platform has attained a tremendous growth in sharing
information and become an integral part of everyday life. Such real-time information portrays …
information and become an integral part of everyday life. Such real-time information portrays …
Deep interpretability methods for neuroimaging
MM Rahman - 2022 - scholarworks.gsu.edu
Brain dynamics are highly complex and yet hold the key to understanding brain function and
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …
Reproducible and interpretable deep learning for the diagnosis, prognosis and subtyping of Alzheimer's disease from neuroimaging data
E Thibeau-Sutre - 2021 - theses.hal.science
The goal of this PhD was the validation of the existence and the discovery of new subtypes
of Alzheimer's disease, the first cause of dementia worldwide. Indeed, despite its discovery …
of Alzheimer's disease, the first cause of dementia worldwide. Indeed, despite its discovery …
Transfer learning using deep convolutional neural network for predicting dementia severity
V Asayesh, M Dehghani, M Torabi… - 2022 30th …, 2022 - ieeexplore.ieee.org
Dementia is a clinical syndrome that influences brain functions and comprises a range of
diseases related to cognitive decline. Electroencephalography (EEG) is a neurodynamic …
diseases related to cognitive decline. Electroencephalography (EEG) is a neurodynamic …