Cited by 174Artificial Intelligence in HealthcareEEG and Brain-Computer InterfacesArtificial Intelligence in Healthcare and Education

Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders

Raghavendra, U., Acharya, U. Rajendra, Adeli, Hojjat·2019·European Neurology

Abstract

BACKGROUND: Authors have been advocating the research ideology that a computer-aided diagnosis (CAD) system trained using lots of patient data and physiological signals and images based on adroit integration of advanced signal processing and artificial intelligence (AI)/machine learning techniques in an automated fashion can assist neurologists, neurosurgeons, radiologists, and other medical providers to make better clinical decisions. SUMMARY: This paper presents a state-of-the-art review of research on automated diagnosis of 5 neurological disorders in the past 2 decades using AI techniques: epilepsy, Parkinson's disease, Alzheimer's disease, multiple sclerosis, and ischemic brain stroke using physiological signals and images. Recent research articles on different feature extraction methods, dimensionality reduction techniques, feature selection, and classification techniques are reviewed. Key Message: CAD systems using AI and advanced signal processing techniques can assist clinicians in analyzing and interpreting physiological signals and images more effectively.

Integrity signals

Registry

Crossref · 10.1159/000504292

Cites

298 of 298 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

1 retracted

Flagged first, then by citations

1 of the 299 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Raghavendra, U., Acharya, U. R., & Adeli, H.
Affiliations
  • Manipal Academy of Higher Education (IN)
  • International Research Organization for Advanced Science and Technology (JP)
  • The Ohio State University (US)
Venue
European Neurology
Publisher
S. Karger AG
Published
2019
Volume
82
Issue
1-3
Pages
41-64
ISSN
  • 0014-3022 (ISSN-L)
  • 1421-9913
OpenAlex
W2991524019
Cited by
174
References
299
Citations by year
2026: 14 · 2025: 28 · 2024: 34 · 2023: 27 · 2022: 29 · 2021: 27 · 2020: 15
FWCI
19.45
Type
journal article
Language
en
Open access
closed
Locations
  • European Neurology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
computer-aided diagnosis, neurological disorders, epilepsy, Parkinson's disease, Alzheimer's disease, multiple sclerosis, ischemic stroke, physiological signals, medical images, feature extraction, dimensionality reduction, feature selection, classification, clinical decision support
MeSH terms
Artificial Intelligence, Central Nervous System Diseases, Diagnosis, Computer-Assisted, Humans, Signal Processing, Computer-Assisted

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review