aceArtificial intelligence in pharmacy and pharmaceutical sciences: Research output, trends, and thematic priorities - A descriptive analysis of web of science-indexed publications (2010-2025)
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, auth…
Research on AI in pharmacy is heavily weighted toward computational drug design, leaving clinical decision support, pharmacovigilance, and manufacturing comparatively underrepresented.
The study is a descriptive bibliometric analysis of one database's publications and characterizes research output, not the real-world clinical effectiveness of AI in pharmacy.
Evidence
- Peer-reviewedExploratory Research in Clinical and Social Pharmacy2026-09-21
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Truvace Impact Record TRV-2026-1794, v1: “Artificial intelligence in pharmacy and pharmaceutical sciences: Research output, trends, and thematic priorities - A descriptive analysis of web of science-indexed publications (2010-2025).” Truvace, 2026-10-18. /record/TRV-2026-1794 (accessed at citation time). sha256 8fd76220bf138353…
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