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27/100

✓ Peer-reviewed alzhub usefulness score 27 out of 100. Digital health tools

Topic: Amyloid, tau and blood-test diagnosis

Alzheimer's disease (AD) is the most common type of dementia and represents a significant global health problem due to its profound impact on patients' quality of life and the heavy burden it places on health care. Alzheimer's is characterized by a progressive decline in cognitive function and memory, ultimately disrupting daily activities and leading to dependence on long-term care. This systematic literature review aims to explore the role of AI in diagnosing and managing Alzheimer’s disease. The method used in this study refers to the PICO framework to highlight various studies on the role of AI for Alzheimer's disease. Recent breakthroughs in the field of artificial intelligence (AI), particularly machine learning (ML) and deep learning, offer promising innovative approaches to improve diagnosis, monitoring, and understanding of Alzheimer's disease.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Rumaseb, E., Sulistiyani, S., & Payasan, L. G. (2025). THE ROLE OF AI (ARTIFICIAL INTELLIGENCE) FOR ALZHEIMER: A SYSTEMATIC REVIEW. JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer). https://doi.org/10.33480/jitk.v10i3.6154

Vancouver

Rumaseb E, Sulistiyani S, Payasan LG. THE ROLE OF AI (ARTIFICIAL INTELLIGENCE) FOR ALZHEIMER: A SYSTEMATIC REVIEW. JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer). 2025. doi:10.33480/jitk.v10i3.6154.

BibTeX

@article{rumaseb2025-30ce7cb0,
  author  = {Rumaseb, Ester and Sulistiyani, Sulistiyani and Payasan, Lalu Guntur},
  title   = {{THE ROLE OF AI (ARTIFICIAL INTELLIGENCE) FOR ALZHEIMER: A SYSTEMATIC REVIEW}},
  journal = {JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer)},
  year    = {2025},
  doi     = {10.33480/jitk.v10i3.6154},
  url     = {https://doi.org/10.33480/jitk.v10i3.6154}
}

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Key findings

Alzheimer's disease (AD) is the most common type of dementia and represents a significant global health problem due to its profound impact on patients' quality of life and the heavy burden it places on health care.

Why it matters

This systematic review explores the role of artificial intelligence in diagnosing and managing Alzheimer's disease. It summarizes existing work and does not itself test a treatment, cure or prevention.

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Study details

Evidence strengthLow

How this study scored 27/100

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer))
Journal's citation record	0 / 4	JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer): journal h-index 14 (OpenAlex, 2026-10-29)
Study design	0 / 12	No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence	1 / 5	Rated “low” in our summary
Peer-review validation	10 / 10	Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent	4 / 5	2025 — within 3 year(s) of the newest study here
Sample size	0 / 4	Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported	0 / 3	No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people	0 / 3	Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded	0 / 2	No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited	1 / 7	Cited 1 times (OpenAlex, 2026-10-10)
Citations per year	0 / 5	0.3 citations a year over 3 year(s) since 2025
Impact for its field and year	1 / 6	Cited 0.6× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here	0 / 6	No other study in this library cites it
Still being cited	0 / 4	Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	0 / 4	Last-listed author Lalu Guntur Payasan: h-index 1 (OpenAlex, whole career)
Institution's track record	0 / 3	Poltekkes Kemenkes Jayapura: institution h-index 12 (OpenAlex)
Multi-centre collaboration	0 / 3	OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete)
Indexed in PubMed	1 / 2	Not in PubMed, but has a DOI
Free to read	2 / 2	Free to read
Total	27 / 100	—

What each of these 20 components measures, and what this score is not →

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Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

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