• Biosens Bioelectron · Oct 2020

    Review

    Artificial intelligence biosensors: Challenges and prospects.

    • Xiaofeng Jin, Conghui Liu, Tailin Xu, Lei Su, and Xueji Zhang.
    • School of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China.
    • Biosens Bioelectron. 2020 Oct 1; 165: 112412.

    AbstractArtificial intelligence (AI) and wearable sensors are two essential fields to realize the goal of tailoring the best precision medicine treatment for individual patients. Integration of these two fields enables better acquisition of patient data and improved design of wearable sensors for monitoring the wearers' health, fitness and their surroundings. Currently, as the Internet of Things (IoT), big data and big health move from concept to implementation, AI-biosensors with appropriate technical characteristics are facing new opportunities and challenges. In this paper, the most advanced progress made in the key phases for future wearable and implantable technology from biosensing, wearable biosensing to AI-biosensing is summarized. Without a doubt, material innovation, biorecognition element, signal acquisition and transportation, data processing and intelligence decision system are the most important parts, which are the main focus of the discussion. The challenges and opportunities of AI-biosensors moving forward toward future medicine devices are also discussed.Copyright © 2020 Elsevier B.V. All rights reserved.

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