Evidence map›Paper›PMID 40284390›Full record

ArticlePolymers2025

Sustainable Medical Materials: AI-Driven Assessment for Mechanical Performance of UVC-Treated Date Palm Epoxy Composites.

Mohamed A Aboamer, Abdulrahman Hakami, Meshari Algethami, Ibrahim M Alarifi, Tarek M A A El-Bagory, Ahmad Alassaf, Bakheet A Alresheedi, Ahmad K AlOmari, Abdulaziz Abdullah Almazrua, Nader A Rahman Mohamed

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Article in Polymers, 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

10 authors.

Mohamed A AboamerDepartment of Medical Equipment Technology, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia.ORCID 0000-0002-4433-776X
Abdulrahman HakamiMedical Planning of Ministry of Health, Riyadh 11176, Saudi Arabia.
Meshari AlgethamiHealth Services of the Ministry of Defense, Riyadh 56688, Saudi Arabia.
Ibrahim M AlarifiDepartment of Mechanical and Industrial Engineering, College of Engineering, Majmaah University, Majmaah 11952, Saudi Arabia.ORCID 0000-0003-0275-0975
Tarek M A A El-BagoryDepartment of Mechanical and Industrial Engineering, College of Engineering, Majmaah University, Majmaah 11952, Saudi Arabia.
Ahmad AlassafDepartment of Medical Equipment Technology, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia.ORCID 0000-0001-8825-6681
Bakheet A AlresheediDepartment of Medical Equipment Technology, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia.
Ahmad K AlOmariBiomedical Technology Department, College of Applied Medical Sciences in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.ORCID 0000-0001-6510-1986
Abdulaziz Abdullah AlmazruaAdministrative and Operational Services Department, Al Rass General Hospital, Al Rass 58883, Saudi Arabia.
Nader A Rahman MohamedBiomedical Technology Department, College of Applied Medical Sciences in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.ORCID 0000-0001-7680-306X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the AI-assisted analyses of radiation disinfection effects on the mechanical properties of recycled date kernel powder-epoxy composites for medical applications, utilizing Euclidean distances and the k-nearest neighbor (KNN) algorithm. Tensile and compression tests were conducted on twenty specimens following ASTM standards, with the data analyzed using a

Indexed as

AI-assisted analysismechanical propertiesmedical applicationsrecycled compositesUVC disinfection

Identifiers

PMID40284390
PMCPMC12030368

What OpenQuestion holds

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LicenceCC BY
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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.