Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders - a systematic-review

Aug 5, 2026

Upload by Noah

Neurodegenerative disorders such as Alzheimer’s and Parkinson’s cause progressive neuronal loss, while neurocognitive disorders including delirium and dementia produce measurable cognitive decline. Early identification is essential for effective clinical management. This systematic review evaluates how machine learning can strengthen virtual early detection and screening, addressing limitations of traditional diagnostics and supporting more precise disease identification through evidence-based integration.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages28

Reading Time1 h 11 min

AccessFree to download

Introduction

Background and Aim

Methods

Literature Search and Screening

Quality Assessment

Results

Conclusion

TYPE Systematic Review PUBLISHED 09 December 2024 DOI 10.3389/fneur.2024.1413071 OPEN ACCESS EDITED BY Rafeed Alkawadri, University of Pittsburgh Medical Center, United States REVIEWED BY Bin Yi, Army Medical University, China Vannessa Duarte, Catholic University of the North, Coquimbo, Chile *CORRESPONDENCE Mahsa Asadi Anar [mahsa.boz@gmail.com](mahsa.boz@gmail.com)[ ](mahsa.boz@gmail.com)Daniel Shafiei [danielshafiei.md@gmail.com](danielshafiei.md@gmail.com) †These authors have contributed equally to this work and share first authorship RECEIVED 06 April 2024 ACCEPTED 05 November 2024 PUBLISHED 09 December 2024 CITATION Yousefi M, Akhbari M, Mohamadi Z, Karami S, Dasoomi H, Atabi A, Sarkeshikian SA, Abdoullahi Dehaki M, Bayati H, Mashayekhi N, Varmazyar S, Rahimian Z, Asadi Anar M, Shafiei D and Mohebbi A (2024) Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review. Front. Neurol. 15:1413071 . doi: 10.3389/fneur.2024.1413071 COPYRIGHT © 2024 Yousefi, Akhbari, Mohamadi, Karami, Dasoomi, Atabi, Sarkeshikian, Abdoullahi Dehaki, Bayati, Mashayekhi, Varmazyar, Rahimian, Asadi Anar, Shafiei and Mohebbi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review Milad Yousefi 1†, Matin Akhbari2†, Zhina Mohamadi3†, Shaghayegh Karami4, Hediyeh Dasoomi 5, Alireza Atabi 6, Seyed Amirali Sarkeshikian7, Mahdi Abdoullahi Dehaki 8, Hesam Bayati 9, Negin Mashayekhi 10, Shirin Varmazyar 11, Zahra Rahimian 12, Mahsa Asadi Anar13*, Daniel Shafiei14* and Alireza Mohebbi 15 1 Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran, 2 Faculty of Medicine, Istanbul Yeni Yuzyil University, Istanbul, Türkiye, 3School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran, 4School of Medicine, Tehran University of Medical Sciences, Tehran, Iran, 5Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, 6School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, 7School of Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran, 8 Master’s of AI Engineering, Islamic Azad University Tehran Science and Research Branch, Tehran, Iran, 9 Department of Radiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran, 10 Department of Neuroscience, Bahçeşehir University, Istanbul, Türkiye, 11School of Medicine, Shahroud University of Medical Sciences, Shahrud, Iran, 12School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran, 13Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran, 14School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran, 15Students Research Committee, Ardabil University of Medical Sciences, Ardabil, Iran Background and aim: Neurodegenerative disorders (e. g., Alzheimer’s, Parkinson’s) lead to neuronal loss; neurocognitive disorders (e. g., delirium, dementia) show cognitive decline. Early detection is crucial for effective management. Machine learning aids in more precise disease identification, potentially transforming healthcare. This comprehensive systematic review discusses how machine learning (ML), can enhance early detection of these disorders, surpassing traditional diagnostics’ constraints. Methods: In this review, databases were examined up to August 15th, 202

FAQs

What is the main purpose of this systematic review?

To synthesize evidence on how machine learning algorithms support virtual early detection and screening of neurodegenerative and neurocognitive disorders.

How were studies selected and evaluated?

Databases were searched up to August 15, 2023, and titles/abstracts were screened using the RAYYAN tool. Quality assessment used the Cochrane risk of bias tool.

What outcomes were reported regarding machine learning algorithms for specific disorders?

The review found 12 algorithms for dementia, 18 for Parkinson’s, and 14 for mild cognitive impairment, with LASSO logistic regression noted as having unpromising results.

Aug 5, 2026

Upload by Noah