AIMC Topic: Pharmacy

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Assessing the applicability and appropriateness of ChatGPT in answering clinical pharmacy questions.

Annales pharmaceutiques francaises
OBJECTIVES: Clinical pharmacists rely on different scientific references to ensure appropriate, safe, and cost-effective drug use. Tools based on artificial intelligence (AI) such as ChatGPT (Generative Pre-trained Transformer) could offer valuable s...

Performance of ChatGPT on the pharmacist licensing examination in Taiwan.

Journal of the Chinese Medical Association : JCMA
BACKGROUND: ChatGPT is an artificial intelligence model trained for conversations. ChatGPT has been widely applied in general medical education and cardiology, but its application in pharmacy has been lacking. This study examined the accuracy of Chat...

Priority-based replenishment policy for robotic dispensing in central fill pharmacy systems: a simulation-based study.

Health care management science
In recent years, companies that operate pharmacy store chains have adopted centralized and automated fulfillment systems, which are called Central Fill Pharmacy Systems (CFPS). The Robotic Dispensing System (RDS) plays a crucial role by automatically...

Comparing different robots available in the European market for the preparation of injectable chemotherapy and recommendations to users.

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
INTRODUCTION: Recent advances in technology have made it possible to develop robots for preparing injectable anticancer drugs. This study aims to compare characteristics between robots available in the European market in 2022 and to help future pharm...

Contribution of an anticancer drug compounding robot in reducing the risks of manual preparation in a hospital pharmacy unit specialized in oncology.

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
INTRODUCTION: In the last few years, pharmaceutical technology has evolved. In the field of oncology pharmacy, robots for the preparation of anti-cancer drugs have appeared to progressively replace manual preparation. The objective of this study is t...

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment.

Journal of visualized experiments : JoVE
Mild cognitive impairment (MCI) is the first sign of dementia among elderly populations and its early detection is crucial in our aging societies. Common MCI tests are time-consuming such that indiscriminate massive screening would not be cost-effect...

Drug Repositioning by Integrating Known Disease-Gene and Drug-Target Associations in a Semi-supervised Learning Model.

Acta biotheoretica
Computational drug repositioning has been proven as a promising and efficient strategy for discovering new uses from existing drugs. To achieve this goal, a number of computational methods have been proposed, which are based on different data sources...

Intravenous compounding robots in pharmacy intravenous admixture services: A systematic review.

Medicine
BACKGROUND: There is a lack of best evidence of intravenous compounding robots for hospital decision-makers. This study aimed to conduct a systematic review of intravenous compounding robots.

[Early Prediction of Support Necessity for Pharmacy Clinical Internship Using Deep Learning].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
The duration of undergraduate study was extended in 2006 to six years for pharmaceutical education aimed at training highly qualified pharmacists. Clinical internship in current pharmaceutical education is positioned as being important for fostering ...