Artificial Intelligence for Alzheimer’s Disease: Promise or Challenge?
Published 2021 View Full Article
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Title
Artificial Intelligence for Alzheimer’s Disease: Promise or Challenge?
Authors
Keywords
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Journal
Diagnostics
Volume 11, Issue 8, Pages 1473
Publisher
MDPI AG
Online
2021-08-16
DOI
10.3390/diagnostics11081473
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Note: Only part of the references are listed.- Molecular subtyping of Alzheimer’s disease using RNA sequencing data reveals novel mechanisms and targets
- (2021) Ryan A. Neff et al. Science Advances
- Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer’s Disease
- (2021) Chun-Hung Chang et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease
- (2021) Shaker El-Sappagh et al. Scientific Reports
- Alzheimer disease
- (2021) David S. Knopman et al. Nature Reviews Disease Primers
- Multi-Layer Picture of Neurodegenerative Diseases: Lessons from the Use of Big Data through Artificial Intelligence
- (2021) Andrea Termine et al. Journal of Personalized Medicine
- Omics sciences for systems biology in Alzheimer’s disease: State-of-the-art of the evidence
- (2021) Harald Hampel et al. AGEING RESEARCH REVIEWS
- Neurotoxic Soluble Amyloid Oligomers Drive Alzheimer’s Pathogenesis and Represent a Clinically Validated Target for Slowing Disease Progression
- (2021) Martin Tolar et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Prediction of future Alzheimer’s disease dementia using plasma phospho-tau combined with other accessible measures
- (2021) Sebastian Palmqvist et al. NATURE MEDICINE
- Computational Drug Repurposing for Alzheimer’s Disease Using Risk Genes From GWAS and Single-Cell RNA Sequencing Studies
- (2021) Yun Xu et al. Frontiers in Pharmacology
- Predicting sporadic Alzheimer's disease progression via inherited Alzheimer's disease‐informed machine‐learning
- (2020) Nicolai Franzmeier et al. Alzheimers & Dementia
- Automated Machine Learning: Review of the State-of-the-Art and Opportunities for Healthcare
- (2020) Jonathan Waring et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Plasma P-tau181 in Alzheimer’s disease: relationship to other biomarkers, differential diagnosis, neuropathology and longitudinal progression to Alzheimer’s dementia
- (2020) Shorena Janelidze et al. NATURE MEDICINE
- Novel Alzheimer’s disease subtypes identified using a data and knowledge driven strategy
- (2020) Alexis Mitelpunkt et al. Scientific Reports
- LTP-like cortical plasticity predicts conversion to dementia in patients with memory impairment
- (2020) Francesco Di Lorenzo et al. Brain Stimulation
- Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer’s Disease
- (2020) Russell Binaco et al. JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY
- A Survey on Deep Learning for Multimodal Data Fusion
- (2020) Jing Gao et al. NEURAL COMPUTATION
- Predicting Alzheimer’s Disease Conversion From Mild Cognitive Impairment Using an Extreme Learning Machine-Based Grading Method With Multimodal Data
- (2020) Weiming Lin et al. Frontiers in Aging Neuroscience
- Early Detection of Alzheimer’s Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning
- (2020) Dan Pan et al. Frontiers in Neuroscience
- The Power of EEG to Predict Conversion from Mild Cognitive Impairment and Subjective Cognitive Decline to Dementia
- (2020) Knut Engedal et al. DEMENTIA AND GERIATRIC COGNITIVE DISORDERS
- Nonlinear biomarker interactions in conversion from mild cognitive impairment to Alzheimer's disease
- (2020) Sebastian G. Popescu et al. HUMAN BRAIN MAPPING
- Dementia prevention, intervention, and care: 2020 report of the Lancet Commission
- (2020) Gill Livingston et al. LANCET
- A multifactorial model of pathology for age of onset heterogeneity in familial Alzheimer’s disease
- (2020) Diego Sepulveda-Falla et al. ACTA NEUROPATHOLOGICA
- Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network
- (2020) Jinhyeong Bae et al. NEUROBIOLOGY OF AGING
- Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease
- (2019) Oliver Preische et al. NATURE MEDICINE
- A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease
- (2019) Simeon Spasov et al. NEUROIMAGE
- Predicting Alzheimer’s disease progression using multi-modal deep learning approach
- (2019) Garam Lee et al. Scientific Reports
- The Alzheimer Precision Medicine Initiative
- (2019) Harald Hampel et al. JOURNAL OF ALZHEIMERS DISEASE
- Association of Amyloid Positron Emission Tomography With Subsequent Change in Clinical Management Among Medicare Beneficiaries With Mild Cognitive Impairment or Dementia
- (2019) Gil D. Rabinovici et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Machine Learning in Medicine
- (2019) Alvin Rajkomar et al. NEW ENGLAND JOURNAL OF MEDICINE
- Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study
- (2019) Bach Tran et al. Journal of Clinical Medicine
- High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis
- (2019) Suzanne E. Schindler et al. NEUROLOGY
- Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining
- (2019) Konstantinos Vougas et al. PHARMACOLOGY & THERAPEUTICS
- Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease–Related β-Amyloid Status
- (2019) Sebastian Palmqvist et al. JAMA Neurology
- Staging β-Amyloid Pathology With Amyloid Positron Emission Tomography
- (2019) Niklas Mattsson et al. JAMA Neurology
- A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures
- (2019) Massimiliano Grassi et al. Frontiers in Neurology
- Artificial Intelligence for Clinical Trial Design
- (2019) Stefan Harrer et al. TRENDS IN PHARMACOLOGICAL SCIENCES
- Lost or unavailable? Exploring mechanisms that affect retrograde memory in mild cognitive impairment and Alzheimer's disease patients
- (2019) Maria Stefania De Simone et al. JOURNAL OF NEUROLOGY
- Grandmaster level in StarCraft II using multi-agent reinforcement learning
- (2019) Oriol Vinyals et al. NATURE
- A deep learning framework for neuroscience
- (2019) Blake A. Richards et al. NATURE NEUROSCIENCE
- XAI—Explainable artificial intelligence
- (2019) David Gunning et al. Science Robotics
- An Assessment of Paralinguistic Acoustic Features for Detection of Alzheimer's Dementia in Spontaneous Speech
- (2019) Fasih Haider et al. IEEE Journal of Selected Topics in Signal Processing
- Intelligent and effective informatic deconvolution of “Big Data” and its future impact on the quantitative nature of neurodegenerative disease therapy
- (2018) Stuart Maudsley et al. Alzheimers & Dementia
- NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease
- (2018) Clifford R. Jack et al. Alzheimers & Dementia
- Alzheimer's disease in the omics era
- (2018) Giulia M. Sancesario et al. CLINICAL BIOCHEMISTRY
- Whole brain white matter histogram analysis of diffusion tensor imaging data detects microstructural damage in mild cognitive impairment and alzheimer's disease patients
- (2018) Giovanni Giulietti et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion
- (2018) Kim-Han Thung et al. MEDICAL IMAGE ANALYSIS
- How early can we diagnose Alzheimer disease (and is it sufficient)?
- (2018) Ronald C. Petersen NEUROLOGY
- Predicting progression to Alzheimer’s disease in subjects with amnestic mild cognitive impairment using performance on recall and recognition tests
- (2018) Maria Stefania De Simone et al. JOURNAL OF NEUROLOGY
- The practical implementation of artificial intelligence technologies in medicine
- (2018) Jianxing He et al. NATURE MEDICINE
- Classification of amyloid PET images using novel features for early diagnosis of Alzheimer’s disease and mild cognitive impairment conversion
- (2018) Yu Yan et al. NUCLEAR MEDICINE COMMUNICATIONS
- Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
- (2018) Alexandra L Young et al. Nature Communications
- A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain
- (2018) Yiming Ding et al. RADIOLOGY
- Prediction of Mild Cognitive Impairment Conversion Using a Combination of Independent Component Analysis and the Cox Model
- (2017) Ke Liu et al. Frontiers in Human Neuroscience
- A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease
- (2017) Tong Tong et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Different deficit patterns on word lists and short stories predict conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment
- (2017) Maria Stefania De Simone et al. JOURNAL OF NEUROLOGY
- Automating drug discovery
- (2017) Gisbert Schneider NATURE REVIEWS DRUG DISCOVERY
- A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages
- (2017) Saima Rathore et al. NEUROIMAGE
- Diagnosis and management of dementia with Lewy bodies
- (2017) Ian G. McKeith et al. NEUROLOGY
- Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer’s disease
- (2017) Dragan Gamberger et al. Scientific Reports
- Trajectories of Depressive Symptoms Before Diagnosis of Dementia
- (2017) Archana Singh-Manoux et al. JAMA Psychiatry
- Drug Repositioning for Alzheimer’s Disease Based on Systematic ‘omics’ Data Mining
- (2017) Ming Zhang et al. PLoS One
- Global Data Sharing in Alzheimer Disease Research
- (2016) Naveen Ashish et al. ALZHEIMER DISEASE & ASSOCIATED DISORDERS
- Big data to smart data in Alzheimer's disease: The brain health modeling initiative to foster actionable knowledge
- (2016) Hugo Geerts et al. Alzheimers & Dementia
- Homogeneous clusters of Alzheimer’s disease patient population
- (2016) Dragan Gamberger et al. Biomedical Engineering Online
- The Clinical Use of Cerebrospinal Fluid Biomarkers for Alzheimer’s Disease Diagnosis: The Italian Selfie
- (2016) Giulia M. Sancesario et al. JOURNAL OF ALZHEIMERS DISEASE
- Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages
- (2015) Carlos Cabral et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease
- (2015) Siqi Liu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Domain Transfer Learning for MCI Conversion Prediction
- (2015) Bo Cheng et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
- (2015) Elaheh Moradi et al. NEUROIMAGE
- Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning
- (2015) Yudong Zhang et al. Frontiers in Computational Neuroscience
- UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
- (2015) Cathie Sudlow et al. PLOS MEDICINE
- Mild cognitive impairment: searching for the prodrome of Alzheimer's disease
- (2015) PAUL B. ROSENBERG et al. World Psychiatry
- Neuroanatomical correlates of awareness of illness in patients with amnestic mild cognitive impairment who will or will not convert to Alzheimer's disease
- (2014) Gianfranco Spalletta et al. CORTEX
- The Diagnosis and Management of Mild Cognitive Impairment
- (2014) Kenneth M. Langa et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Frailty Among Alzheimer’s Disease Patients
- (2013) Giacomo Koch et al. CNS & Neurological Disorders-Drug Targets
- Accuracy of the Clinical Diagnosis of Alzheimer Disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010
- (2012) Thomas G. Beach et al. JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY
- Posterior cortical atrophy
- (2012) Sebastian J Crutch et al. LANCET NEUROLOGY
- Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion
- (2012) Eric Westman et al. NEUROIMAGE
- Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
- (2011) Reisa A. Sperling et al. Alzheimers & Dementia
- The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease
- (2011) Guy M. McKhann et al. Alzheimers & Dementia
- The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease
- (2011) Marilyn S. Albert et al. Alzheimers & Dementia
- Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
- (2011) Katya Rascovsky et al. BRAIN
- Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease
- (2010) K.B. Walhovd et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Docosahexaenoic Acid Supplementation and Cognitive Decline in Alzheimer Disease
- (2010) Joseph F. Quinn et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Boosting power for clinical trials using classifiers based on multiple biomarkers
- (2010) Omid Kohannim et al. NEUROBIOLOGY OF AGING
- Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
- (2010) Christos Davatzikos et al. NEUROBIOLOGY OF AGING
- Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database
- (2010) Rémi Cuingnet et al. NEUROIMAGE
- Genetic Aspects of Alzheimer Disease
- (2009) Jennifer Williamson et al. NEUROLOGIST
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