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Journal of Education, Health and Sport

Advancing Alzheimer’s Diagnosis: The Role of AI - A Review
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Advancing Alzheimer’s Diagnosis: The Role of AI - A Review

Authors

  • Dominka Rehan Lower Silesian Center for Oncology, Pulmonology and Hematology Plac Ludwika Hirszfelda 12, 53-413 Wrocław, Poland https://orcid.org/0009-0000-9796-599X
  • Sven Solisch University Clinical Hospital in Opole, Wincentego Witosa 26, 45-401 Opole, Poland https://orcid.org/0009-0002-4769-6095
  • Anna Blazhkova T. Marciniak Lower Silesian Specialist Hospital – Emergency Medicine Centre. ul. Gen. Augusta Emila Fieldorfa 2, 54-049, Wrocław, Poland https://orcid.org/0009-0008-4826-4810
  • Anna Susłow T. Marciniak Lower Silesian Specialist Hospital – Emergency Medicine Centre. ul. Gen. Augusta Emila Fieldorfa 2, 54-049, Wrocław, Poland https://orcid.org/0009-0004-2745-3971
  • Adam Szwed Wroclaw Medical University, Jana Mikulicza-Radeckiego 4A, 50-372 Wrocław, Poland https://orcid.org/0009-0008-8614-6292
  • Ewa Szczęsna Lower Silesian Center for Oncology, Pulmonology and Hematology, Plac Ludwika Hirszfelda 12, 53-413 Wrocław, Poland https://orcid.org/0009-0001-4767-7356

DOI:

https://doi.org/10.12775/JEHS.2025.77.57093

Keywords

Alzheimer's disease, neurodegenerative disease, dementia, AI, artificial intelligence

Abstract

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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2025-01-09

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REHAN, Dominka, SOLISCH, Sven, BLAZHKOVA , Anna, SUSŁOW, Anna, SZWED, Adam and SZCZĘSNA, Ewa. Advancing Alzheimer’s Diagnosis: The Role of AI - A Review. Journal of Education, Health and Sport. Online. 9 January 2025. Vol. 77, p. 57093. [Accessed 21 May 2025]. DOI 10.12775/JEHS.2025.77.57093.
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Vol. 77 (2025)

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Copyright (c) 2025 Dominka Rehan, Sven Solisch, Anna Blazhkova , Anna Susłow, Adam Szwed, Ewa Szczęsna

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