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

Applications of AI (946) Clinical Information and Decision Making (3678) New Methods (1785) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (269) mHealth in a Clinical Setting (1135) mHealth for Treatment Adherence (618)

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 Tweetations (1) Metrics

Haozhe Liu   1 , MS ;   Yaguang Zheng   2 , PhD ;   Bei Wu   3 , PhD ;   Yu Gan   1, 4, 5 , PhD

1 Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, United States

2 Rory Meyers College of Nursing, New York University, New York, NY, United States

3 Faculty of Arts and Science, New York University Shanghai, Shanghai, China

4 Fischell Department of Bioengineering, University of Maryland, College Park, MD, United States

5 Artificial Intelligence Interdisciplinary Institute at Maryland, University of Maryland, College Park, MD, United States

Corresponding Author:

  • Yu Gan, PhD
  • Fischell Department of Bioengineering
  • University of Maryland
  • 3102 A. James Clark Hall
  • College Park, MD 20742
  • United States
  • Phone: 1 2012165593
  • Email: yugan@umd.edu