ReviewInnovations in pharmacy2022
Artificial Intelligence (AI) in Pharmacy: An Overview of Innovations.
Review in Innovations in pharmacy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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.
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.
Who cites it
45 citing papers in PubMed.
- Integration of artificial intelligence applications in clinical pharmacy services: A scoping review.Future healthcare journal · 2026Review
- AI-informed healthcare pedagogy: a review of the literature and application to pedagogical practice informed by case studies from dental education.British dental journal · 2026Review
- In defence of the drug, two hearts, one profession: Reintegrating medicines expertise and patient-centred care in pharmacy's professional identity.Exploratory research in clinical and social pharmacy · 2026Article
- Machine Learning-Driven Techno-Economic Uncertainty Analysis in Batch Pharmaceutical Manufacturing.ACS omega · 2026Article
- Guidance for Use of Artificial Intelligence in Community Pharmacy Practice: Perspectives and Needs of Pharmacists in Ontario, Canada.Pharmacy (Basel, Switzerland) · 2026Article
- Leveraging Artificial Intelligence-Based Applications to Remove Disruptive Factors from Pharmaceutical Care: A Quantitative Study in Eastern Romania.Pharmacy (Basel, Switzerland) · 2026Article
- Artificial intelligence in pharmacy practice: pharmacists' perceptions and concerns toward implementation.Frontiers in digital health · 2026Article
- Image-based identification and DEA-based optimization modeling of antibiotic packaging using unsupervised learning techniques.PloS one · 2026Article
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- Paediatric rare diseases: Can large language models assist off-label prescribing?British journal of clinical pharmacology · 2025Article
- Responsible Adoption of Artificial Intelligence (AI) in Pharmacy Practice: Perspectives of Regulators in Canada and the United States.Pharmacy (Basel, Switzerland) · 2025Article
- Consensus recommendations for the integration of critical care pharmacists on intensive care unit teams: Endorsed by the American Association of Critical-Care Nurses, American College of Clinical Pharmacy, American Society of Health-System Pharmacists, Institute for Safe Medication Practices, and Society of Critical Care Medicine.Journal of the American College of Clinical Pharmacy : JACCP · 2025Article
- Pharmacy students' perceptions of artificial intelligence integration in pharmacy practice: Ethical challenges in multiple countries of the MENA region.Currents in pharmacy teaching & learning · 2025Article
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- Benchmarking ChatGPT-3.5 and OpenAI o3 Against Clinical Pharmacists: Preliminary Insights into Clinical Accuracy, Sensitivity, and Specificity in Pharmacy MCQs.Healthcare (Basel, Switzerland) · 2025Article
- Knowledge and perception of artificial lntelligence education among undergraduate healthcare students.BMC medical education · 2025Article
- AI in Clinical Trials and Drug Development: Challenges and Potential Advancements.Current drug discovery technologies · 2025Review
- Diagnostic performance of four AI tools in pharmacology MCQs: Accuracy, sensitivity, and specificity.PloS one · 2025Article
- A Comprehensive Investigation: Developing the Pharmaceutical Industry through Artificial Intelligence.Current drug discovery technologies · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial Intelligence (AI) emerged as an intervention for data and number-related problems. This breakthrough has led to several technological advancements in virtually all fields from engineering to architecture, education, accounting, business, health, and so on. AI has come a long way in healthcare, having played significant roles in data and information storage and management - such as patient medical histories, medicine stocks, sale records, and so on; automated machines; software and computer applications like diagnostic tools such as MRI radiation technology, CT diagnosis and many more have all been created to aid and simplify healthcare measures. Inarguably, AI has revolutionized healthcare to be more effective and efficient and the pharmacy sector is not left out. During the past few years, a considerable amount of increasing interest in the uses of AI technology has been identified for analyzing as well as interpreting some important fields of pharmacy like drug discovery, dosage form designing, polypharmacology, and hospital pharmacy. Given the growing importance of AI, we wanted to create a comprehensive report which helps every practicing pharmacist understand the biggest breakthroughs which are assisted by the deployment of this field.
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What OpenQuestion holds
Registered trials
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.