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August 22, 2025International journal of medical and health research.Open Access

Artificial Intelligence in Early Diagnosis of Neurodegenerative Disorders: A Systematic Review of Clinical Applications and Challenges

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Authors

MRM. S. RañaUniversity of the CumberlandsFLFrancesco Ernesto Alessi LongaUniversidad AztecaARAdil RiazGovernment College University, Faisalabad

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Implication

Systematic review assesses AI's role in early diagnosis of neurodegenerative diseases, indicating significant promise and challenges ahead.

Key Points

  • AI tools demonstrate strong diagnostic precision in identifying neurodegenerative disorders early, enhancing intervention options.
  • With a pooled AUC of 0.90, the AI techniques showed significant accuracy across various data modalities.
  • The review utilized PRISMA methods to analyze 12 primary studies, focusing on AI's ability to detect conditions like Alzheimer's and Parkinson's.
  • Despite evidence of effectiveness, further validation and clinical interpretability are necessary for broader application.

Cite This Study

Raña et al. (2025) studied this question.

synapsesocial.com/papers/68af5707ad7bf08b1eaddadehttps://doi.org/10.61424/ijmhr.v3i3.382
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial Intelligence for the Diagnosis and Management of Neurodegenerative Diseases: A Comprehensive Review With an Emphasis on Parkinson’s and Alzheimer’s Diseases2026
  2. 2Artificial Intelligence in Alzheimer’s Disease: A Review of Early Detection2026
  3. 3The Role of Artificial Intelligence in the Detection and Diagnosis of Neurocognitive Disorders: A Systematic Review2026
  4. 4An Insight into the Role of Artificial Intelligence in the Early Diagnosis of Alzheimer’s Disease2025
  5. 5Application of Artificial Intelligence in the Diagnosis of Neurodegenerative Diseases: The Case of Alzheimer's Disease2024