Advancing Alzheimer’s Diagnosis: The Role of AI - A Review
Introduction: Alzheimer's disease (AD) is a progressive neurodegenerative disease that accounts for more than half of all cases of dementia worldwide. An aging society therefore poses a huge challenge to medicine. The exact mechanism responsible for this disease is still not fully understood. H...
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| Format: | Article |
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Kazimierz Wielki University
2025-01-01
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| Series: | Journal of Education, Health and Sport |
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| Online Access: | https://apcz.umk.pl/JEHS/article/view/57093 |
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| author | Dominka Rehan Sven Solisch Anna Blazhkova Anna Susłow Adam Szwed Ewa Szczęsna |
| author_facet | Dominka Rehan Sven Solisch Anna Blazhkova Anna Susłow Adam Szwed Ewa Szczęsna |
| author_sort | Dominka Rehan |
| collection | DOAJ |
| description | Introduction: Alzheimer's disease (AD) is a progressive neurodegenerative disease that accounts for more than half of all cases of dementia worldwide. An aging society therefore poses a huge challenge to medicine. The exact mechanism responsible for this disease is still not fully understood. However, theories of neurodegeneration related to the deposition of pathological proteins in the brain and the imbalance between individual neurotransmitters have allowed the development of effective diagnostic methods - laboratory determination of specific biomarkers (tau protein, β-amyloid) and their marking using PET (Amyloid PET, Tau PET). Magnetic resonance imaging (MRI) is also important in diagnostics. Artificial intelligence (AI) is a promising, new, and rapidly developing path that can significantly affect the diagnostic process of Alzheimer's disease.
Purpose of the study: This review examines the role of AI in diagnosing Alzheimer's disease.
Materials and methods: A comprehensive literature review was conducted, analyzing 63 studies from the PubMed database (in English, up to December 2024) that assessed the effectiveness, methods, and prospects of AI in the diagnosis of Alzheimer's disease.
Conclusions: Share of AI in the diagnosis of Alzheimer's disease is extremely promising. AI used in neuroimaging, genetics, and behavioral biomarkers shows great potential diagnostic. AI-based tools are extremely promising because they can be non-invasive and highly sensitive biomarkers. Optical coherence tomography (OCT) and OCT angiography (OCTA) combined with AI models offer an opportunity for cost-effective and rapid diagnostic pathways for AD. This review presents evidence that artificial intelligence is a key factor in transforming AD diagnostics into modern diagnostics that enable earlier detection and treatment of the disease which may consequently positively impact the quality of life of AD patients and their caregivers.
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| format | Article |
| id | doaj-art-f574bef654474308893c815f8ecb29f2 |
| institution | Kabale University |
| issn | 2391-8306 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Kazimierz Wielki University |
| record_format | Article |
| series | Journal of Education, Health and Sport |
| spelling | doaj-art-f574bef654474308893c815f8ecb29f22025-01-11T08:16:43ZengKazimierz Wielki UniversityJournal of Education, Health and Sport2391-83062025-01-017710.12775/JEHS.2025.77.57093Advancing Alzheimer’s Diagnosis: The Role of AI - A ReviewDominka Rehan0https://orcid.org/0009-0000-9796-599XSven Solisch1https://orcid.org/0009-0002-4769-6095Anna Blazhkova 2https://orcid.org/0009-0008-4826-4810Anna Susłow3https://orcid.org/0009-0004-2745-3971Adam Szwed4https://orcid.org/0009-0008-8614-6292Ewa Szczęsna5https://orcid.org/0009-0001-4767-7356Lower Silesian Center for Oncology, Pulmonology and Hematology Plac Ludwika Hirszfelda 12, 53-413 Wrocław, PolandUniversity Clinical Hospital in Opole, Wincentego Witosa 26, 45-401 Opole, Poland T. Marciniak Lower Silesian Specialist Hospital – Emergency Medicine Centre. ul. Gen. Augusta Emila Fieldorfa 2, 54-049, Wrocław, PolandT. Marciniak Lower Silesian Specialist Hospital – Emergency Medicine Centre. ul. Gen. Augusta Emila Fieldorfa 2, 54-049, Wrocław, PolandWroclaw Medical University, Jana Mikulicza-Radeckiego 4A, 50-372 Wrocław, PolandLower Silesian Center for Oncology, Pulmonology and Hematology, Plac Ludwika Hirszfelda 12, 53-413 Wrocław, PolandIntroduction: Alzheimer's disease (AD) is a progressive neurodegenerative disease that accounts for more than half of all cases of dementia worldwide. An aging society therefore poses a huge challenge to medicine. The exact mechanism responsible for this disease is still not fully understood. However, theories of neurodegeneration related to the deposition of pathological proteins in the brain and the imbalance between individual neurotransmitters have allowed the development of effective diagnostic methods - laboratory determination of specific biomarkers (tau protein, β-amyloid) and their marking using PET (Amyloid PET, Tau PET). Magnetic resonance imaging (MRI) is also important in diagnostics. Artificial intelligence (AI) is a promising, new, and rapidly developing path that can significantly affect the diagnostic process of Alzheimer's disease. Purpose of the study: This review examines the role of AI in diagnosing Alzheimer's disease. Materials and methods: A comprehensive literature review was conducted, analyzing 63 studies from the PubMed database (in English, up to December 2024) that assessed the effectiveness, methods, and prospects of AI in the diagnosis of Alzheimer's disease. Conclusions: Share of AI in the diagnosis of Alzheimer's disease is extremely promising. AI used in neuroimaging, genetics, and behavioral biomarkers shows great potential diagnostic. AI-based tools are extremely promising because they can be non-invasive and highly sensitive biomarkers. Optical coherence tomography (OCT) and OCT angiography (OCTA) combined with AI models offer an opportunity for cost-effective and rapid diagnostic pathways for AD. This review presents evidence that artificial intelligence is a key factor in transforming AD diagnostics into modern diagnostics that enable earlier detection and treatment of the disease which may consequently positively impact the quality of life of AD patients and their caregivers. https://apcz.umk.pl/JEHS/article/view/57093Alzheimer's diseaseneurodegenerative diseasedementiaAIartificial intelligence |
| spellingShingle | Dominka Rehan Sven Solisch Anna Blazhkova Anna Susłow Adam Szwed Ewa Szczęsna Advancing Alzheimer’s Diagnosis: The Role of AI - A Review Journal of Education, Health and Sport Alzheimer's disease neurodegenerative disease dementia AI artificial intelligence |
| title | Advancing Alzheimer’s Diagnosis: The Role of AI - A Review |
| title_full | Advancing Alzheimer’s Diagnosis: The Role of AI - A Review |
| title_fullStr | Advancing Alzheimer’s Diagnosis: The Role of AI - A Review |
| title_full_unstemmed | Advancing Alzheimer’s Diagnosis: The Role of AI - A Review |
| title_short | Advancing Alzheimer’s Diagnosis: The Role of AI - A Review |
| title_sort | advancing alzheimer s diagnosis the role of ai a review |
| topic | Alzheimer's disease neurodegenerative disease dementia AI artificial intelligence |
| url | https://apcz.umk.pl/JEHS/article/view/57093 |
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