Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review
Developments in neuroradiological MRI analysis offer promise in enhancing objectivity and
consistency in dementia diagnosis through the use of quantitative volumetric reporting tools …
consistency in dementia diagnosis through the use of quantitative volumetric reporting tools …
Digital healthcare for dementia and cognitive impairment: A scoping review
Background Cognitive disorders, such as Alzheimer's disease, are a global health problem.
Digital healthcare technology is an innovative management tool for delaying the progression …
Digital healthcare technology is an innovative management tool for delaying the progression …
Diagnosis of Alzheimer's disease and behavioural variant frontotemporal dementia with machine learning‐aided neuropsychological assessment using feature …
F Garcia‐Gutierrez, A Delgado‐Alvarez… - … journal of geriatric …, 2022 - Wiley Online Library
Background Neuropsychological assessment is considered a valid tool in the diagnosis of
neurodegenerative disorders. However, there is an important overlap in cognitive profiles …
neurodegenerative disorders. However, there is an important overlap in cognitive profiles …
AI-based differential diagnosis of dementia etiologies on multimodal data
Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap
across etiologies, yet it is crucial for formulating early, personalized management strategies …
across etiologies, yet it is crucial for formulating early, personalized management strategies …
[HTML][HTML] Identifying HRV patterns in ECG signals as early markers of dementia
Abstract The appearance of Artificial Intelligence (IA) has improved our ability to process
large amount of data. These tools are particularly interesting in medical contexts, in order to …
large amount of data. These tools are particularly interesting in medical contexts, in order to …
Classifying Alzheimer's disease and frontotemporal dementia using machine learning with cross‐sectional and longitudinal magnetic resonance imaging data
A Pérez‐Millan, J Contador… - Human brain …, 2023 - Wiley Online Library
Alzheimer's disease (AD) and frontotemporal dementia (FTD) are common causes of
dementia with partly overlapping, symptoms and brain signatures. There is a need to …
dementia with partly overlapping, symptoms and brain signatures. There is a need to …
Artificial intelligence in dementia
A Richardson, CB Robbins, CE Wisely… - Current Opinion in …, 2022 - journals.lww.com
Machine learning models that can accurately distinguish those with symptomatic Alzheimer's
dementia from those with mild cognitive impairment and normal cognition as well as predict …
dementia from those with mild cognitive impairment and normal cognition as well as predict …
Clinical characteristics of early-onset versus late-onset Alzheimer's disease: a systematic review and meta-analysis
P Seath, LE Macedo-Orrego… - International …, 2023 - cambridge.org
Objectives: A number of studies have compared Alzheimer's disease (AD), the commonest
form of dementia, based on their age of onset, ie before the age of 65 years (early-onset AD …
form of dementia, based on their age of onset, ie before the age of 65 years (early-onset AD …
[HTML][HTML] Subgrouping and structural brain connectivity of Parkinson's disease–past studies and future directions
Parkinson's disease (PD) is a heterogeneous neurodegenerative disorder associated with
several motor and non-motor dysfunctions. The wide variety of clinical features often leads to …
several motor and non-motor dysfunctions. The wide variety of clinical features often leads to …
A reproducible deep-learning-based computer-aided diagnosis tool for frontotemporal dementia using MONAI and clinica frameworks
Despite Artificial Intelligence (AI) being a leading technology in biomedical research, real-
life implementation of AI-based Computer-Aided Diagnosis (CAD) tools into the clinical …
life implementation of AI-based Computer-Aided Diagnosis (CAD) tools into the clinical …