advertisement

Topcon

Abstract #122280 Published in IGR 25-1

Real-world evaluation of novel eye drop bottle sensors: Cloud-based AI support for eye drop adherence

Tabuchi H; Nishimura K; Akada M; Akada M; Ishikami T; Shirakami T; Kamiura N; Kiuchi Y
Heliyon 2024; 10: e34167


PURPOSE: To understand real-world eye drop adherence among glaucoma patients and evaluate the performance of our proposed cloud-based support for eye drop adherence (CASEA). DESIGN: Prospective, observational case series. METHODS: Array RESULTS: Four of the 61 study subjects dropped out. The remaining 57 patients achieved recall, precision, and accuracy values of 98.6 %, 98.6 %, and 95.9 %, respectively, for the two-eyes model and 95.8 %, 98.8 %, and 95.6 % for the one-eye model. Three low-accuracy participants (77.1 %, 71.0 %, and 81.0 %) improved to 100 %, 99.1 %, and 100 %, respectively, after undergoing an additional 8-week performance validation using an aid-type container designed to ensure that the bottle was fully inverted during instillation. CONCLUSIONS: CASEA precisely monitored daily eye drop adherence and enhanced treatment efficacy by identifying patients with difficulty self-medicating. This system has the potential to improve glaucoma patient outcomes by supporting adherence.

Full article

Classification:

15 Miscellaneous



Issue 25-1

Change Issue


advertisement

Bioniko