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ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF AGING-RELATED DISEASES: CURRENT MODELS, LIMITATIONS, AND FUTURE DIRECTIONS
Oleksii Bashkirtsev, Bohdana Doskaliuk. Anti-Aging Eastern Europe, 2025-12-31
Topic: Risk, prevention and care in population studies
Overall, AI has substantial potential to support more precise, person-centred care for older adults, but realising this promise will require multimorbidity-aware, transparent models, robust evaluation in diverse geriatric populations and governance frameworks that ensure fairness, privacy and meaningful human oversight.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Bashkirtsev, O., & Doskaliuk, B. (2025). ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF AGING-RELATED DISEASES: CURRENT MODELS, LIMITATIONS, AND FUTURE DIRECTIONS. Anti-Aging Eastern Europe. https://doi.org/10.56543/aaeeu.2025.4.4.01
Vancouver
Bashkirtsev O, Doskaliuk B. ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF AGING-RELATED DISEASES: CURRENT MODELS, LIMITATIONS, AND FUTURE DIRECTIONS. Anti-Aging Eastern Europe. 2025. doi:10.56543/aaeeu.2025.4.4.01.
BibTeX
@article{bashkirtsev2025-07afaca5,
author = {Bashkirtsev, Oleksii and Doskaliuk, Bohdana},
title = {{ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF AGING-RELATED DISEASES: CURRENT MODELS, LIMITATIONS, AND FUTURE DIRECTIONS}},
journal = {Anti-Aging Eastern Europe},
year = {2025},
doi = {10.56543/aaeeu.2025.4.4.01},
url = {https://doi.org/10.56543/aaeeu.2025.4.4.01}
}
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Key findings
- Overall, AI has substantial potential to support more precise, person-centred care for older adults, but realising this promise will require multimorbidity-aware, transparent models, robust evaluation in diverse geriatric populations and governance frameworks that ensure fairness, privacy and meaningful human oversight.
Why it matters
This review states that artificial intelligence has substantial potential to support more precise, person-centred care for older adults, but realising this promise requires multimorbidity-aware, transparent models, robust evaluation in diverse geriatric populations, and governance frameworks. It does not report findings on treating, curing, or preventing Alzheimer's disease.
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Study details
- Evidence strengthLow
How this study scored 28/100
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 (Anti-Aging Eastern Europe) |
| Journal's citation record | 0 / 4 | Anti-Aging Eastern Europe: journal h-index 6 (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 0.2× 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 | 1 / 4 | Last-listed author Bohdana Doskaliuk: h-index 10 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | Ivano-Frankivsk National Medical University: institution h-index 59 (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 | 28 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
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