Exploring Huntington’s Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review
Huntington’s Disease (HD) is a devastating neurodegenerative disorder characterized by progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early and accurate diagnosis of HD is crucial for effective intervention and patient care. This comprehensive review provides a co...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/13/23/3592 |
| _version_ | 1827592421597249536 |
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| author | Sowmiyalakshmi Ganesh Thillai Chithambaram Nadesh Ramu Krishnan Durai Raj Vincent Jayakumar Kaliappan Kathiravan Srinivasan |
| author_facet | Sowmiyalakshmi Ganesh Thillai Chithambaram Nadesh Ramu Krishnan Durai Raj Vincent Jayakumar Kaliappan Kathiravan Srinivasan |
| author_sort | Sowmiyalakshmi Ganesh |
| collection | DOAJ |
| description | Huntington’s Disease (HD) is a devastating neurodegenerative disorder characterized by progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early and accurate diagnosis of HD is crucial for effective intervention and patient care. This comprehensive review provides a comprehensive overview of the utilization of Artificial Intelligence (AI) powered algorithms in the diagnosis of HD. This review systematically analyses the existing literature to identify key trends, methodologies, and challenges in this emerging field. It also highlights the potential of ML and DL approaches in automating HD diagnosis through the analysis of clinical, genetic, and neuroimaging data. This review also discusses the limitations and ethical considerations associated with these models and suggests future research directions aimed at improving the early detection and management of Huntington’s disease. It also serves as a valuable resource for researchers, clinicians, and healthcare professionals interested in the intersection of machine learning and neurodegenerative disease diagnosis. |
| first_indexed | 2024-03-09T01:53:21Z |
| format | Article |
| id | doaj.art-e4d0749090704ee18673202b4d3707ee |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-09T01:53:21Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-e4d0749090704ee18673202b4d3707ee2023-12-08T15:13:39ZengMDPI AGDiagnostics2075-44182023-12-011323359210.3390/diagnostics13233592Exploring Huntington’s Disease Diagnosis via Artificial Intelligence Models: A Comprehensive ReviewSowmiyalakshmi Ganesh0Thillai Chithambaram1Nadesh Ramu Krishnan2Durai Raj Vincent3Jayakumar Kaliappan4Kathiravan Srinivasan5School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaSchool of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaSchool of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaHuntington’s Disease (HD) is a devastating neurodegenerative disorder characterized by progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early and accurate diagnosis of HD is crucial for effective intervention and patient care. This comprehensive review provides a comprehensive overview of the utilization of Artificial Intelligence (AI) powered algorithms in the diagnosis of HD. This review systematically analyses the existing literature to identify key trends, methodologies, and challenges in this emerging field. It also highlights the potential of ML and DL approaches in automating HD diagnosis through the analysis of clinical, genetic, and neuroimaging data. This review also discusses the limitations and ethical considerations associated with these models and suggests future research directions aimed at improving the early detection and management of Huntington’s disease. It also serves as a valuable resource for researchers, clinicians, and healthcare professionals interested in the intersection of machine learning and neurodegenerative disease diagnosis.https://www.mdpi.com/2075-4418/13/23/3592Huntington’s diseaseArtificial Intelligencemachine learningdeep learningdiagnosis |
| spellingShingle | Sowmiyalakshmi Ganesh Thillai Chithambaram Nadesh Ramu Krishnan Durai Raj Vincent Jayakumar Kaliappan Kathiravan Srinivasan Exploring Huntington’s Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review Diagnostics Huntington’s disease Artificial Intelligence machine learning deep learning diagnosis |
| title | Exploring Huntington’s Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review |
| title_full | Exploring Huntington’s Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review |
| title_fullStr | Exploring Huntington’s Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review |
| title_full_unstemmed | Exploring Huntington’s Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review |
| title_short | Exploring Huntington’s Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review |
| title_sort | exploring huntington s disease diagnosis via artificial intelligence models a comprehensive review |
| topic | Huntington’s disease Artificial Intelligence machine learning deep learning diagnosis |
| url | https://www.mdpi.com/2075-4418/13/23/3592 |
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