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

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.

Objective

We proposed a deep learning-based system for reducing medication errors by accurately identifying prescription pills. Given the pill images, our system located the pills in the respective pill databases in South Korea and the United States.

Methods

We organized the system into a pill recognition step and pill retrieval step, and we applied deep learning models to train not only images of the pill but also imprinted characters. In the pill recognition step, there are 3 modules that recognize t

SUBMITTER: Heo J 

PROVIDER: S-EPMC9883737 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature