ReviewHeliyon2024
Artificial intelligence-powered electrochemical sensor: Recent advances, challenges, and prospects.
Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed.
- Liquid biopsy: current applications and future directions.Molecular biomedicine · 2026Review
- Intelligent Plasmonic Bio-Holoelectrochemical Systems: A Testable Architecture for Light-Programmed Microbial Electrochemistry.Global challenges (Hoboken, NJ) · 2026Review
- Artificial Intelligence in Electrochemical Sensing: A Network Evidence Map of Translational Barriers and Pathways to Point-of-Care Deployment.Biosensors · 2026Review
- Theranostic Smart Bionanosensors for Solid Tumors: Advances, Challenges, and Future Directions.Applied biochemistry and biotechnology · 2026Review
- Wearable Electronics for Precision Diagnosis Through Advanced Manufacturing and Integration.Nano-micro letters · 2026Review
- Recent Progress in Artificial Intelligence in Biosensor Development: From Bioprobe Design to Fabrication and Signal Analysis.Biosensors · 2026Review
- Engineered AuNPs/fMWCNT Nanocomposite Electrodes for High-Sensitivity Methylglyoxal Sensing in Saliva and Sweat for Non-Invasive Diabetes Monitoring.Advanced healthcare materials · 2026Article
- Integrated microfluidic biosensors: shaping the future of quantitative life sciences and on-chip molecular diagnostics.Lab on a chip · 2026Review
- Electrochemical liquid biopsy across cancer care pathway.The journal of liquid biopsy · 2026Review
- Integrating Metabolomics and Machine Learning for Advanced Chemical Detection.Sensors (Basel, Switzerland) · 2026Review
- Electrochemical Lateral Flow Platforms: Pioneering the Future of Rapid Testing.Molecules (Basel, Switzerland) · 2026Review
- Point-of-Care Electrochemical Diagnostic Developments for Multidrug-Resistant Bacteria: Role of Aptamers and Nanomaterials.Biosensors · 2026Review
- How Artificial Intelligence Can Advance Electrochemical Science and Identify Water Molecule Orientation on Platinum Electrodes.The journal of physical chemistry. C, Nanomaterials and interfaces · 2026Review
- A simple linear sweep voltammetric method for the detection of glucose using an Ag-Au/MWCNT nanocomposite-modified glassy carbon electrode.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026Article
- Improving Clinical Diagnostics and Patient Care through Artificial Intelligence and Biosensor Technologies.ACS omega · 2026Review
- Body Biofluids for Minimally-Invasive Diagnostics: Insights, Challenges, Emerging Technologies, and Clinical Potential.Advanced healthcare materials · 2026Review
- The Application of Nanomaterials in the Detection of Liver Cancer Biomarkers.International journal of nanomedicine · 2026Review
- Advances in biosensors for bacterial detection and identification.World journal of microbiology & biotechnology · 2025Review
- TiOMicromachines · 2025Review
- Advanced Metal-Organic Framework-Based Sensor Systems for Gas and Environmental Monitoring: From Material Design to Embedded Applications.Sensors (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Integrating artificial intelligence (AI) with electrochemical biosensors is revolutionizing medical treatments by enhancing patient data collection and enabling the development of advanced wearable sensors for health, fitness, and environmental monitoring. Electrochemical biosensors, which detect biomarkers through electrochemical processes, are significantly more effective. The integration of artificial intelligence is adept at identifying, categorizing, characterizing, and projecting intricate data patterns. As the Internet of Things (IoT), big data, and big health technologies move from theory to practice, AI-powered biosensors offer significant opportunities for real-time disease detection and personalized healthcare. Still, they also pose challenges such as data privacy, sensor stability, and algorithmic bias. This paper highlights the critical advances in material innovation, biorecognition elements, signal transduction, data processing, and intelligent decision systems necessary for developing next-generation wearable and implantable devices. Despite existing limitations, the integration of AI into biosensor systems shows immense promise for creating future medical devices that can provide early detection and improved patient outcomes, marking a transformative step forward in healthcare technology.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.