Accessibility settings

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

Applications of AI (1101) Clinical Information and Decision Making (3908) New Methods (1872) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (286) mHealth in a Clinical Setting (1224) mHealth for Treatment Adherence (636)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92528, first published .
Hand holding various pills and capsules, including orange and white capsules.

Objective Assessment of Medication Adherence Through Automated Pill Detection Using a Computer Vision Framework: Development and Evaluation Study

Objective Assessment of Medication Adherence Through Automated Pill Detection Using a Computer Vision Framework: Development and Evaluation Study

Authors of this article:

Haozhe Liu1 Author Orcid Image ;   Yaguang Zheng2 Author Orcid Image ;   Bei Wu3 Author Orcid Image ;   Yu Gan1, 4, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Sai Sachin A, Karthikeyan J. Artificial intelligence for medication recognition and safety: a systematic review of detection, classification, OCR, and digital health applications. Frontiers in Digital Health 2026;8 View