Applications of machine learning to diagnosis and treatment of neurodegenerative diseases

Targeted Next Generation Sequencing Revealed a Novel Homozygous Loss-of-Function Mutation in ILDR1 Gene Causes Autosomal Recessive Nonsyndromic Sensorineural Hearing Loss in a Chinese Family

(2019) Jinxia An et al.   Frontiers in Genetics

Association Between HLA Genotype and Cutaneous Adverse Reactions to Antiepileptic Drugs Among Epilepsy Patients in Northwest China

(2019) Xu Wang et al.   Frontiers in Neurology

Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions

(2019) Vincent Grollemund et al.   Frontiers in Neuroscience

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

(2019) David N. Kennedy et al.   Frontiers in Neuroinformatics

Grand Total EEG Score Can Differentiate Parkinson's Disease From Parkinson-Related Disorders

(2019) Ela Austria Barcelon et al.   Frontiers in Neurology

No we shouldn’t be afraid of medical AI; it involves risks and opportunities

(2019) Rosalind J McDougall   JOURNAL OF MEDICAL ETHICS

Should we be afraid of medical AI?

(2019) Ezio Di Nucci   JOURNAL OF MEDICAL ETHICS

Metabolome-based signature of disease pathology in MS

(2019) S.L. Andersen et al.   Multiple Sclerosis and Related Disorders

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

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

Social Cognition Dysfunctions in Neurodegenerative Diseases: Neuroanatomical Correlates and Clinical Implications

(2018) Foteini Christidi et al.   BEHAVIOURAL NEUROLOGY

Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information

(2018) Pooya Zakeri et al.   BIOINFORMATICS

Modeling polypharmacy side effects with graph convolutional networks

(2018) Marinka Zitnik et al.   BIOINFORMATICS

Temperature elevation in the human brain and skin with thermoregulation during exposure to RF energy

(2018) Sachiko Kodera et al.   Biomedical Engineering Online

MR imaging features of benign retroperitoneal paragangliomas and schwannomas

(2018) Yanguang Shen et al.   BMC Neurology

Artificial intelligence in medicine: current trends and future possibilities

(2018) Varun H Buch et al.   BRITISH JOURNAL OF GENERAL PRACTICE

Reprogramming neurodegeneration in the big data era

(2018) Lujia Zhou et al.   CURRENT OPINION IN NEUROBIOLOGY

Dual channel LSTM based multi-feature extraction in gait for diagnosis of Neurodegenerative diseases

(2018) Aite Zhao et al.   KNOWLEDGE-BASED SYSTEMS

Prognosis for patients with amyotrophic lateral sclerosis: development and validation of a personalised prediction model

(2018) Henk-Jan Westeneng et al.   LANCET NEUROLOGY

Stimulus package

(2018)   NATURE MEDICINE

Clinical variability and onset age modifiers in an extended Belgian GRN founder family

(2018) Eline Wauters et al.   NEUROBIOLOGY OF AGING

Rapid Automated Quantification of Cerebral Leukoaraiosis on CT Images: A Multicenter Validation Study

(2018) Liang Chen et al.   RADIOLOGY

Predicting Aging of Brain Metabolic Topography Using Variational Autoencoder

(2018) Hongyoon Choi et al.   Frontiers in Aging Neuroscience

The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review

(2018) Alanna Vial et al.   Translational Cancer Research

Artificial intelligence in drug discovery

(2018) Matthew A Sellwood et al.   Future Medicinal Chemistry

An unsupervised machine learning method for discovering patient clusters based on genetic signatures

(2018) Christian Lopez et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Automated deep-neural-network surveillance of cranial images for acute neurologic events

(2018) Joseph J. Titano et al.   NATURE MEDICINE

In situ immune response and mechanisms of cell damage in central nervous system of fatal cases microcephaly by Zika virus

(2018) Raimunda S. S. Azevedo et al.   Scientific Reports

Computer knows best? The need for value-flexibility in medical AI

(2018) Rosalind J McDougall   JOURNAL OF MEDICAL ETHICS

Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

(2018) Sasank Chilamkurthy et al.   LANCET

Integrative approach to sporadic Alzheimer’s disease: deficiency of TYROBP in cerebral Aβ amyloidosis mouse normalizes clinical phenotype and complement subnetwork molecular pathology without reducing Aβ burden

(2018) Jean-Vianney Haure-Mirande et al.   MOLECULAR PSYCHIATRY

Dimensionality reduction for visualizing single-cell data using UMAP

(2018) Etienne Becht et al.   NATURE BIOTECHNOLOGY

An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

Alzheimer’s Biomarkers From Multiple Modalities Selectively Discriminate Clinical Status: Relative Importance of Salivary Metabolomics Panels, Genetic, Lifestyle, Cognitive, Functional Health and Demographic Risk Markers

(2018) Shraddha Sapkota et al.   Frontiers in Aging Neuroscience

Artificial intelligence in healthcare

(2018) Kun-Hsing Yu et al.   Nature Biomedical Engineering

Global and regional economic costs of dementia: a systematic review

(2017) Junfang Xu et al.   LANCET

Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson's disease: a longitudinal cohort study and validation

(2017) Jeanne C Latourelle et al.   LANCET NEUROLOGY

Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis

(2017) Bibo Shi et al.   PATTERN RECOGNITION

Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging

(2017) Luciano M. Prevedello et al.   RADIOLOGY

Neuroimaging genomics in psychiatry—a translational approach

(2017) Mary S. Mufford et al.   Genome Medicine

Ten quick tips for machine learning in computational biology

(2017) Davide Chicco   BioData Mining

Deep Learning for Health Informatics

(2017) Daniele Ravi et al.   IEEE Journal of Biomedical and Health Informatics

The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading

(2017) Nicolin Hainc et al.   Frontiers in Neurology

Detecting Dementia Through Interactive Computer Avatars

(2017) Hiroki Tanaka et al.   IEEE Journal of Translational Engineering in Health and Medicine-JTEHM

SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment

(2016) Daniele Riboni et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Machine Learning Interface for Medical Image Analysis

(2016) Yi C. Zhang et al.   JOURNAL OF DIGITAL IMAGING

Extracting information from the text of electronic medical records to improve case detection: a systematic review

(2016) Elizabeth Ford et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Genomics is failing on diversity

(2016) Alice B. Popejoy et al.   NATURE

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease

(2016) Bo Cheng et al.   NEUROINFORMATICS

Understanding Dopaminergic Cell Death Pathways in Parkinson Disease

(2016) Patrick P. Michel et al.   NEURON

PATHOLOGICAL BRAIN DETECTION BY ARTIFICIAL INTELLIGENCE IN MAGNETIC RESONANCE IMAGING SCANNING (INVITED REVIEW)

(2016) Shuihua Wang et al.   Progress in Electromagnetics Research-PIER

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

(2016) Francisco Ordóñez et al.   SENSORS

An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features

(2015) Massimo Buscema et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Identification of a small set of plasma signalling proteins using neural network for prediction of Alzheimer’s disease

(2015) Swapna Agarwal et al.   BIOINFORMATICS

The EEG as a diagnostic tool in distinguishing between dementia with Lewy bodies and Alzheimer’s disease

(2015) Hennie Lee et al.   CLINICAL NEUROPHYSIOLOGY

The genetic landscape of Alzheimer disease: clinical implications and perspectives

(2015) Caroline Van Cauwenberghe et al.   GENETICS IN MEDICINE

Common genetic variants influence human subcortical brain structures

(2015) Derrek P. Hibar et al.   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

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

Feature Selection Based on the SVM Weight Vector for Classification of Dementia

(2015) Esther E. Bron et al.   IEEE Journal of Biomedical and Health Informatics

Identifying Neuroimaging Markers of Motor Disability in Acute Stroke by Machine Learning Techniques

(2014) A. K. Rehme et al.   CEREBRAL CORTEX

Clinical trials in amyotrophic lateral sclerosis: why so many negative trials and how can trials be improved?

(2014) Hiroshi Mitsumoto et al.   LANCET NEUROLOGY

Clinical development success rates for investigational drugs

(2014) Michael Hay et al.   NATURE BIOTECHNOLOGY

Alzheimer’s disease drug-development pipeline: few candidates, frequent failures

(2014) Jeffrey L Cummings et al.   Alzheimers Research & Therapy

RandomForest4Life: A Random Forest for predicting ALS disease progression

(2014) Torsten Hothorn et al.   Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration

The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER): Study design and progress

(2013) Miia Kivipelto et al.   Alzheimers & Dementia

Development and evaluation of a de-identification procedure for a case register sourced from mental health electronic records

(2013) Andrea C Fernandes et al.   BMC Medical Informatics and Decision Making

Human neuroimaging as a “Big Data” science

(2013) John Darrell Van Horn et al.   Brain Imaging and Behavior

Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease

(2013) Bin Zhang et al.   CELL

Handwriting as an objective tool for Parkinson’s disease diagnosis

(2013) Sara Rosenblum et al.   JOURNAL OF NEUROLOGY

Applying active learning to high-throughput phenotyping algorithms for electronic health records data

(2013) Yukun Chen et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment

(2013) Jonathan Young et al.   NeuroImage-Clinical

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease

(2012) Katherine R. Gray et al.   NEUROIMAGE

Detection of activities of daily living impairment in Alzheimer's disease and mild cognitive impairment using information and communication technology

(2012) Guillaume Sacco et al.   Clinical Interventions in Aging

Transfer learning of classification rules for biomarker discovery and verification from molecular profiling studies

(2011) Philip Ganchev et al.   JOURNAL OF BIOMEDICAL INFORMATICS

How can we improve clinical trials in amyotrophic lateral sclerosis?

(2011) Paul H. Gordon et al.   Nature Reviews Neurology

Molecular pathways of motor neuron injury in amyotrophic lateral sclerosis

(2011) Laura Ferraiuolo et al.   Nature Reviews Neurology

MRI Pattern Recognition in Multiple Sclerosis Normal-Appearing Brain Areas

(2011) Martin Weygandt et al.   PLoS One

Proteostasis and Movement Disorders: Parkinson's Disease and Amyotrophic Lateral Sclerosis

(2011) D. A. Bosco et al.   Cold Spring Harbor Perspectives in Biology

A new computer method for assessing drawing impairment in Parkinson's disease

(2010) Jerker Westin et al.   JOURNAL OF NEUROSCIENCE METHODS

Huntington's disease: from molecular pathogenesis to clinical treatment

(2010) Christopher A Ross et al.   LANCET NEUROLOGY

Neuronal death in Alzheimer’s disease and therapeutic opportunities

(2009) Rossen Donev et al.   JOURNAL OF CELLULAR AND MOLECULAR MEDICINE

Clinically deployable Kinesia™ technology for automated tremor assessment

(2009) Joseph P. Giuffrida et al.   MOVEMENT DISORDERS

Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

(2009) Emilie Gerardin et al.   NEUROIMAGE

Neural basis of interpersonal traits in neurodegenerative diseases

(2009) Marc Sollberger et al.   NEUROPSYCHOLOGIA

Automated Computer Differential Classification in Parkinsonian Syndromes via Pattern Analysis on MRI

(2008) Simon Duchesne et al.   ACADEMIC RADIOLOGY

The Syndrome of Functional Memory Disorder: Definition, Etiology, and Natural Course

(2008) Klaus Schmidtke et al.   AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY

Automatic classification of MR scans in Alzheimer's disease

(2008) S. Kloppel et al.   BRAIN

Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study

(2008) Yong Fan et al.   NEUROIMAGE

Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI

(2008) Benoît Magnin et al.   NEURORADIOLOGY

Quantitative EEG in early Alzheimer's disease patients — Power spectrum and complexity features

(2007) Balázs Czigler et al.   INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

(2007) Yong Fan et al.   NEUROIMAGE

Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging

(2006) Christos Davatzikos et al.   NEUROBIOLOGY OF AGING