4.6 Review

Use of artificial intelligence techniques for detection of mild cognitive impairment: A systematic scoping review

Related references

Note: Only part of the references are listed.
Article Geriatrics & Gerontology

Mild Cognitive Impairment: the Manchester consensus

Ross A. Dunne et al.

Summary: MCI is a clinically heterogeneous syndrome that can lead to further cognitive decline, but may also remain stable or resolve over time. Diagnostic criteria, including cognitive testing, neuroimaging, and fluid biomarkers, can improve accuracy of diagnosis and potentially guide prognosis. Large-scale studies are needed to determine the practical usefulness of combining multiple markers for clinical use.

AGE AND AGEING (2021)

Article Computer Science, Artificial Intelligence

Linguistic features and automatic classifiers for identifying mild cognitive impairment and dementia

Laura Calza et al.

Summary: Dementia affects a large number of people worldwide, with early detection being crucial. Language alterations may be an early sign of the disease, and using Natural Language Processing techniques can help identify these changes. This approach shows promising results for early diagnosis of dementia.

COMPUTER SPEECH AND LANGUAGE (2021)

Article Computer Science, Information Systems

Prediction of Mild Cognitive Impairment Using Movement Complexity

Taha Khan et al.

Summary: This study utilized SVM framework based on movement analysis to predict the onset and progression of mild cognitive impairment. The results showed that the model could detect the onset six months earlier and the feature of cyclomatic complexity significantly contributed to the prediction results.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2021)

Article Engineering, Biomedical

2Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning

Behnaz Ghoraani et al.

Summary: This study introduces a diagnostic algorithm based on gait and machine learning to detect MCI and AD. By collecting and analyzing gait data from participants, the algorithm achieved an accuracy of 78% in distinguishing between healthy, MCI, and AD individuals. This novel approach demonstrates the potential of gait-based cognitive screening and machine learning in early detection and intervention for cognitive impairment.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

Article Construction & Building Technology

Automated cognitive health assessment in smart homes using machine learning

Abdul Rehman Javed et al.

Summary: IoT offers smart solutions for future urban communities with minimal human intervention. Smart homes assess residents' ability to perform daily activities and health condition using CA-SHR, aiming to early detect cognitive impairment. By utilizing ensemble AdaBoost classification, CA-SHR improves the reliability in labeling smart home residents.

SUSTAINABLE CITIES AND SOCIETY (2021)

Article Chemistry, Multidisciplinary

Mild Cognitive Impairment Detection Using Machine Learning Models Trained on Data Collected from Serious Games

Christos Karapapas et al.

Summary: The study examines the capacity of serious games combined with machine learning for detecting mild cognitive impairment, showing potential as a complementary or alternative tool to traditional cognitive screening processes. The preliminary evidence suggests that a production level model trained based on Gaussian Naive Bayes classifier can achieve high detection performance with 92.14% accuracy, 93.4% sensitivity, and 90% specificity.

APPLIED SCIENCES-BASEL (2021)

Article Computer Science, Information Systems

Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives

Simarjeet Kaur et al.

IEEE ACCESS (2020)

Article Biology

A dynamic decision model for diagnosis of dementia, Alzheimer's disease and Mild Cognitive Impairment

Carolina M. Carvalho et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2020)

Review Chemistry, Multidisciplinary

Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners

Luis Bote-Curiel et al.

APPLIED SCIENCES-BASEL (2019)

Article Geriatrics & Gerontology

Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers

Kathleen C. Fraser et al.

FRONTIERS IN AGING NEUROSCIENCE (2019)

Article Computer Science, Artificial Intelligence

Multilingual word embeddings for the assessment of narrative speech in mild cognitive impairment

Kathleen C. Fraser et al.

COMPUTER SPEECH AND LANGUAGE (2019)

Review Computer Science, Interdisciplinary Applications

Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review

Hossein Ahmadi et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)

Editorial Material Medicine, General & Internal

Implementing Machine Learning in Health Care - Addressing Ethical Challenges

Danton S. Char et al.

NEW ENGLAND JOURNAL OF MEDICINE (2018)

Editorial Material Health Care Sciences & Services

Computer Vision in Healthcare Applications

Junfeng Gao et al.

JOURNAL OF HEALTHCARE ENGINEERING (2018)

Article Medicine, General & Internal

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

Milena A. Gianfrancesco et al.

JAMA INTERNAL MEDICINE (2018)

Article Pharmacology & Pharmacy

Decision Tree for Early Detection of Cognitive Impairment by Community Pharmacists

Maria Teresa Climent et al.

FRONTIERS IN PHARMACOLOGY (2018)

Article Computer Science, Interdisciplinary Applications

Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification

Brian d'Alessandro et al.

BIG DATA (2017)

Proceedings Paper Computer Science, Interdisciplinary Applications

Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts

Leandro B. dos Santos et al.

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1 (2017)

Article Clinical Neurology

Detecting mild cognitive impairment (MCI) in older adults from content of spoken utterances

Meysam Asgari et al.

Alzheimers & Dementia (2015)

Article Engineering, Biomedical

Autonomous Unobtrusive Detection of Mild Cognitive Impairment in Older Adults

Ahmad Akl et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2015)

Review Multidisciplinary Sciences

Advances in natural language processing

Julia Hirschberg et al.

SCIENCE (2015)