A review of point-of-care devices for blood-testing towards AI-driven remote digital care, precision healthcare and predictive medicine

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Authors: Jun Gu, Abicumaran Uthamacumaran, Héctor Zenil
Cited by: 0
References: 19

Abstract

ABSTRACT Point-of-care (POC) blood testing enables rapid, decentralized diagnostics with transformative promise, yet its innovation landscape remains poorly mapped. To this end, we focused on features that we believe are key to make progress in areas of precision healthcare and predictive medicine, such as longitudinal data collection and data analytics integration. While no review can be complete, this work attempts to address this gap by analyzing 86 POC blood testing devices worldwide and proposing a unified framework to compare them across technology principles, diagnostic breadth, usability, regulatory pathway, deployment feasibility (via a custom index), and data/AI integration. Electrochemical biosensors were the single largest platform (29.1%), strongly associated with glucose testing (χ 2 =237.8, p

Fields of Study & Subjects

Biosensors and Analytical Detection Biosimilars and Bioanalytical Methods Pharmaceutical Quality and Counterfeiting

Publication details

Journal / source
Computer Methods and Programs in Biomedicine Update
Volume
10
Pages
100258–100258
Publication date
9 June 2026
Language
EN