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Artificial intelligence biosensors: Challenges and prospects
Abstract
Artificial 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.
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“One of the most significant advantages of AI-based wearable health technology is to promote preventive healthcare.”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [13]
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“These innovative devices can continuously track various health parameters, giving users personalized insights and feedback [6,12,13,16,188].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [13]
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Metadata
- Authors
- Jin, X., Liu, C., Xu, T., Su, L., & Zhang, X.
- Affiliations
- Shenzhen University (CN)
- Corresponding author
- Xu, Tailin
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 165
- Pages
- 112412
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W3039593752
- Cited by
- 399
- References
- 158
- Citations by year
- 2026: 54 · 2025: 108 · 2024: 97 · 2023: 54 · 2022: 46 · 2021: 34 · 2020: 5
- FWCI
- 2.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biosensors and Bioelectronics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Chemistry › Analytical Chemistry › Electrochemical sensors and biosensors
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- wearable sensors, implantable sensors, wearable biosensing, Internet of Things, precision medicine, biorecognition elements, health monitoring, medical devices
- MeSH terms
- Artificial Intelligence, Humans, Biosensing Techniques, Precision Medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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