Related Experiment Video
Updated: Jan 17, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Assessment of Pitfalls in an AI-Based Pill-Counting Application
Namie Tanamachi1, Takahiro Amemiya2, Takashi Tomita1,3
1Department of Pharmacy, International University of Health and Welfare Mita Hospital, Minato, JPN.
None:
Artificial intelligence (AI)-based pill-counting applications have been introduced into clinical practice to streamline the work of pharmacists. However, no study has evaluated the safety of these drugs. The purpose of this study was to evaluate AI's ability to recognize Yakushimarukazuko® (NeoX Inc., Tokyo, Japan) and identify operational issues. The results confirmed that the transparency, overlap, and direction of the supplements used in the assessment were important factors in AI-based recognition. Accurately identifying and addressing such operational issues with AI-based pill-counting applications will contribute to minimizing the risk of errors and, in turn, enhance medical safety.
Related Concept Videos
Errors occurring during blood pressure monitoring
Several factors...
Drug Accumulation During Multiple Dosing: Repetitive IV Injections

