Evidence map›Paper›PMID 42889819›Full record

ArticleExploratory research in clinical and social pharmacy2026

Artificial intelligence in pharmacy and pharmaceutical sciences: Research output, trends, and thematic priorities - A descriptive analysis of web of science-indexed publications (2010-2025).

Bushra Salman, Amna Mohamed, Asim Jamal Shaikh, Anwar Al-Mahrizi, Roula Al-Shidi, Suhaila Al-Farsi, Nariman Hashish, Zayana Al-Kiyumi, Omar Ayaad, Khalid Al-Baimani

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Article in Exploratory research in clinical and social pharmacy, 2026. 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.

Bushra SalmanPharmacy Department, National Hematology and Bone Marrow Transplant Center, University Medical City, Muscat, Oman.
Amna MohamedPharmacy Department, College of Applied Sciences and Pharmacy, University of Technology and Applied Sciences, Muscat, Oman.
Asim Jamal ShaikhMedical Oncology Department, Sultan Qaboos Comprehensive Cancer Care and Research Center, University Medical City, Muscat, Oman.
Anwar Al-MahriziPharmacy Department, Sultan Qaboos University Hospital, University Medical City, Muscat, Oman.
Roula Al-ShidiPharmacy Directorate, Sultan Qaboos Comprehensive Cancer Care and Research Center, University Medical City, Muscat, Oman.
Suhaila Al-FarsiMedical Oncology Department, Sultan Qaboos Comprehensive Cancer Care and Research Center, University Medical City, Muscat, Oman.
Nariman HashishNursing Directorate, Sultan Qaboos Comprehensive Cancer Care and Research Center, University Medical City, Muscat, Oman.
Zayana Al-KiyumiNursing Directorate, Sultan Qaboos Comprehensive Cancer Care and Research Center, University Medical City, Muscat, Oman.
Omar AyaadDepartment of Quality and Accreditation, Sultan Qaboos Comprehensive Cancer Care and Research Center, University Medical City, Muscat, Oman.
Khalid Al-BaimaniMedical Oncology Department, Sultan Qaboos Comprehensive Cancer Care and Research Center, University Medical City, Muscat, Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) is rapidly transforming pharmacy and pharmaceutical sciences (PPS), yet the evolution, research priorities, and global landscape of AI-related research within this field have not been comprehensively characterized. Methods: A descriptive bibliometric analysis of publications indexed in the Web of Science Core Collection was conducted for studies published between 2010 and November 9, 2025. Publication trends, document characteristics, journals, publishers, countries, authors, research themes, citation impact, and funding organizations were analyzed using descriptive statistics, keyword analysis, and descriptive network visualization. Results: A total of 9671 publications were identified. Research output increased markedly over the study period, with publications from 2020 onward accounting for 84.9% of the literature. Original research articles published in English predominated. The Conclusions: AI-related research in PPS has expanded rapidly but remains predominantly focused on computational drug discovery and preclinical applications. Greater emphasis on clinical implementation, patient-centered pharmacy practice, pharmacovigilance, and broader geographic participation is needed to support equitable translation of AI into pharmaceutical care.

Indexed as

Artificial intelligenceBibliometric analysisBibliometricsDrug discoveryMachine learningPharmaceutical sciencesPharmacyPublication trendsWeb of science

Identifiers

PMID42889819
PMCPMC13671335

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.