Evidence map›Paper›PMID 40118994›Full record

ArticleScientific reports2025

Classification method based on surf and sift features for alzheimer diagnosis using diffusion tensor magnetic resonance imaging.

Nourhan Zayed, Ghaidaa Eldeep, Inas A Yassine

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nourhan ZayedComputer and Systems Department, Electronics Research Institute, Cairo, Egypt. nourhan@eri.sci.eg.
Ghaidaa EldeepSystems and Biomedical Engineering, Cairo University, Cairo, Egypt.
Inas A YassineSystems and Biomedical Engineering, Cairo University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD), the most common dementia in the elderly, poses a challenge for early diagnosis due to its progressive nature and hidden microstructural changes. While traditional T

Indexed as

Alzheimer DiseaseDiffusion Tensor ImagingAgedAged, 80 and overAnisotropyCognitive DysfunctionDiagnosis, Computer-AssistedFemaleHumansMaleAlzheimer ’s disease (AD)AmygdalaBag of wordsDiffusion tensor imaging (DTI)HippocampusSIFT features and SURF features

Identifiers

PMID40118994
PMCPMC11928662

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.