Work

Pedi-Medi-Instructor: Pediatric Medicine Information and Instruction System

Year: 2025

Type: article

Abstract: This study proposes a two-part system to enhance medication safety and user experience, especially for pediatric patients. The Data Acquisition System for Medicine Identification (DAMI) trains an AI model with comprehensive images of medications captured from various angles. The Medicine Identification and Instruction System (MIIS) leverages this model to identify medications and prescriptions, even with imperfect placement, and delivers audio instructions on usage. Designing the structured prescription provides highly accurate medicine text extraction, medicine type classification, and proper consumption unit extraction. While currently limited to pediatrics and challenged by handwriting variations, the system’s robustness to user errors, digital twin monitoring, and planned improvements for broader use and recognition accuracy position it as a promising tool for medication management.

Source: IEEE Access

DOI: 10.1109/access.2025.3591803

Authors: Ganesan Kaliyaperumal, N. S. Manikandan

Institutions: Central Scientific Instruments Organisation, Vellore Institute of Technology University

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,075