This paper is in the following e-collection/theme issue:

Artificial Intelligence (2162) Machine Learning (2095) Clinical Information and Decision Making (1935) Clinical Informatics (1335) Natural Language Processing (923)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41043, first published .
An Accurate Deep Learning–Based System for Automatic Pill Identification: Model Development and Validation

An Accurate Deep Learning–Based System for Automatic Pill Identification: Model Development and Validation

An Accurate Deep Learning–Based System for Automatic Pill Identification: Model Development and Validation

Authors of this article:

Junyeong Heo1, 2 Author Orcid Image ;   Youjin Kang3 Author Orcid Image ;   SangKeun Lee3, 4 Author Orcid Image ;   Dong-Hwa Jeong5, 6 Author Orcid Image ;   Kang-Min Kim5, 6 Author Orcid Image
Article Authors Cited by (16) Tweetations (5) Metrics

Journals

  1. Chiang C, Yang Y, Liu W, Lin Y. Improving Automatic Identification of Medications in Transparent Packaging by Glare Removal and Color Correction. IEEE Access 2023;11:118812 View
  2. Chiu Y. Automated medication verification system (AMVS): System based on edge detection and CNN classification drug on embedded systems. Heliyon 2024;10(9):e30486 View
  3. Rádli R, Vörösházi Z, Czúni L. Metric‐based pill recognition with the help of textual and visual cues. IET Image Processing 2024;18(14):4623 View
  4. Bai E, Zhang Z, Xu Y, Luo X, Adelgais K. Enhancing prehospital decision-making: exploring user needs and design considerations for clinical decision support systems. BMC Medical Informatics and Decision Making 2025;25(1) View
  5. Kim S, Chae M, Lee J, Lee H. Advanced Pharmaceutical Recognition System Based on Deep Learning for Mobile Medication Identification. Applied Sciences 2025;15(10):5644 View
  6. Lee J, Park J, Kim C. Development of an AI-Based Model for Identifying Doping Drugs Through Pill Image Analysis. Journal of Drug Issues 2025 View
  7. Yoon K, Lee S, Park J, Kim K. CNN-Based Automatic Tablet Classification Using a Vibration-Controlled Bowl Feeder with Spiral Torque Optimization. Sensors 2025;25(14):4248 View
  8. Rashmi R, Shubhangi M. AI-driven drug pill recognition system: A CNN-based android application for visually impaired and senior citizens. i-manager's Journal on Mobile Applications and Technologies 2025;12(1):24 View
  9. Kavitha N, Madhumathy P. Real-time pill identification and classification using deep learning framework for medicine inspection systems. Discover Electronics 2025;2(1) View

Books/Policy Documents

  1. Ramlee M, Khairuddin I. Proceedings of the 7th Asia Pacific Conference on Manufacturing Systems and 6th International Manufacturing Engineering Conference—Volume 1. View
  2. Bui H, Nguyen X, Hoang V, Mac T. Proceedings of the 4th Annual International Conference on Material, Machines, and Methods for Sustainable Development (MMMS2024). View
  3. Pinto G, Martins R, Pereira H, Ribeiro R, Conceição L, Marreiros G. Emerging Trends in Information Systems and Technologies. View

Conference Proceedings

  1. Rádli R, Vörösházi Z, Czúni L. 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). Multi-Stream Pill Recognition with Attention View
  2. R M, R A, N M, Unnikrishnan A, S S. 2024 International Conference on Emerging Research in Computational Science (ICERCS). Drug Pills Identification System using Google Gemini LLM: A Generative AI approach View
  3. Muppidi M, Ponnagani S, Sunnapu S. 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). Reinforcement Learning-Driven Multi-Modal Sentiment Analysis for Personalized Drug Recommendations View
  4. Pallewela C, Senanayake A, Wijayagunawardene V. 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA). MediAI: Intelligent AI System for Medicine Identification, Symptom Analysis Chatbot, and QR Code Tracking for Central Province, Sri Lanka View