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

Journal: Journal of medical Internet research
PMID: 36637893

Abstract

BACKGROUND: Medication errors account for a large proportion of all medical errors. In most homes, patients take a variety of medications for a long period. However, medication errors frequently occur because patients often throw away the containers of their medications.

Authors

  • Junyeong Heo
    Department of Mathematics, Korea University, Seoul, Republic of Korea.
  • Youjin Kang
    Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea.
  • Sangkeun Lee
    Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, USA.
  • Dong-Hwa Jeong
    Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea.
  • Kang-Min Kim
    Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea.

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