Home › Research › Brain scans and imaging
RETRACTED: Revolutionizing medical imaging: A cutting-edge AI framework with vision transformers and perceiver IO for multi-disease diagnosis
Ayesha Khaliq, Fahad Burhan Ahmad, Habib Rehman, Saad Alanazi, Hamza Haleem, Kashaf Junaid, Elisavet Andrikopoulou. Computational Biology and Chemistry, 2025-07-04
This paper has been retracted. The record we hold marks it as a retracted publication. Check the original source below for the retraction notice before relying on anything it reports.
Topic: Brain proteins, microglia and lab models
The integration of artificial intelligence in medical image classification has significantly advanced disease detection. The framework holds significant potential for early disease detection in healthcare settings, reducing diagnostic errors, and improving treatment outcomes for clinicians, radiologists, and patients.
Key findings
- The integration of artificial intelligence in medical image classification has significantly advanced disease detection.
- The framework holds significant potential for early disease detection in healthcare settings, reducing diagnostic errors, and improving treatment outcomes for clinicians, radiologists, and patients.
Why it matters
This paper is marked as retracted, so its reported framework and claims about early disease detection should not be relied upon. No usable evidence about treating, curing or preventing Alzheimer's disease can be drawn from it.
New to this subject? Start with our plain-English guide: Brain scans & tests →
Study details
- Evidence strengthLow
How this study scored 16/100
Retracted — do not rely on it. It scored 26 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. 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 | 2 / 10 | Tier 4 — not a peer-reviewed journal (Computational Biology and Chemistry) |
| Journal's citation record | 0 / 4 | Not a journal article, so the journal's record does not count |
| 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 | 0 / 10 | Retracted — do not rely on it. The title marks it as retracted, or it is the retraction notice itself. |
| 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 | 3 / 7 | Cited 16 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 5.3 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 4 / 6 | Cited 8.7× 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 | 2 / 4 | Cited 16 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Elisavet Andrikopoulou: h-index 6 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Queen Mary University of London: institution h-index 1,058 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 4 institution(s) in 3 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 40633409) |
| Free to read | 2 / 2 | Free to read |
| Total | 26 / 100 | Capped to 16 because this is not a peer-reviewed article. |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1016/j.compbiolchem.2025.108586
- PubMed: 40633409
- Original source →
- Free full text: Computational Biology and Chemistry →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 7 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.
APA 7th
Khaliq, A., Ahmad, F. B., Rehman, H., Alanazi, S., Haleem, H., Junaid, K., et al. (2025). RETRACTED: Revolutionizing medical imaging: A cutting-edge AI framework with vision transformers and perceiver IO for multi-disease diagnosis. Computational Biology and Chemistry. https://doi.org/10.1016/j.compbiolchem.2025.108586
Vancouver
Khaliq A, Ahmad FB, Rehman H, Alanazi S, Haleem H, Junaid K, et al. RETRACTED: Revolutionizing medical imaging: A cutting-edge AI framework with vision transformers and perceiver IO for multi-disease diagnosis. Computational Biology and Chemistry. 2025. doi:10.1016/j.compbiolchem.2025.108586. PMID: 40633409.
BibTeX
@article{khaliq2025-40633409,
author = {Khaliq, Ayesha and Ahmad, Fahad Burhan and Rehman, Habib and Alanazi, Saad and Haleem, Hamza and Junaid, Kashaf and Andrikopoulou, Elisavet},
title = {{RETRACTED: Revolutionizing medical imaging: A cutting-edge AI framework with vision transformers and perceiver IO for multi-disease diagnosis}},
journal = {Computational Biology and Chemistry},
year = {2025},
doi = {10.1016/j.compbiolchem.2025.108586},
pmid = {40633409},
url = {https://doi.org/10.1016/j.compbiolchem.2025.108586}
}
Related studies in Brain scans and imaging
Also tagged “classification”
835 studies in the library carry the topic tag “classification”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 835 tagged studies.