ReviewChemical reviews2024
Toward an AI Era: Advances in Electronic Skins.
Review in Chemical reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Adaptive Conductive Systems: Enabling Deformable Electronics Through Engineered Materials, Circuits, and Intelligent Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Skin Relevant Biomaterials from Wound Healing, Medical Aesthetics, Flexible Electronics to Artificial Intelligence and Beyond.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Self-encapsulated nanofibrous ionic skin with superhigh fatigue resistance and broad environmental tolerance.Nature communications · 2026Article
- Wearable Electronics for Precision Diagnosis Through Advanced Manufacturing and Integration.Nano-micro letters · 2026Review
- All-Polyimide-Mediated Liquid Metal Assembly on Aerogels for Breathable and Robust Electronic Skins.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Next-Generation Bionic Sensors for Small Molecule Detection: Integrating Synthetic Biology, Nanomaterials, and Artificial Intelligence.Micromachines · 2026Review
- Bioinspired ionic thermoreceptors with anisotropic architecture for thermotactile perception in robots.Science advances · 2026Article
- Flexible and Wearable Sensors-Design, Fabrication Methods, and Applications.Sensors (Basel, Switzerland) · 2026Article
- Mesh-Architected Structurally Flexible Pb(ZrNano-micro letters · 2026Article
- Nature-Inspired Innovation in Electrical Engineering Technologies and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Li/Al-LDH Reinforced Polyacrylamide/Xanthan Gum Semi-Interpenetrating Network Nano-Conductive Hydrogels for Stress Sensing and Wearable Device Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Smart and Sustainable: A Global Review of Smart Textiles, IoT Integration, and Human-Centric Design.Sensors (Basel, Switzerland) · 2025Review
- pH calibration allows accurate glucose detection in interstitial fluid via reverse iontophoresis.Nature communications · 2025Article
- Antimicrobial and breathable membranes with printed carbon nanotube-silver composite conductive layers for electronic sensing.Chemical science · 2025Article
- Thermally Activated Negative Differential Resistance VOACS nano · 2025Article
- A foundational architecture for AI agents in healthcare.Cell reports. Medicine · 2025Review
- Flexible photonic contactless human-machine interface based on visible-blind near-infrared organic photodetectors.National science review · 2025Article
- Biomimetic microstructure design for ultrasensitive piezoionic mechanoreceptors in multimodal object recognition.Nature communications · 2025Article
- Fabrication of high-performance NHMikrochimica acta · 2025Article
- Design Strategies and Emerging Applications of Conductive Hydrogels in Wearable Sensing.Gels (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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electronic skins (e-skins) have seen intense research and rapid development in the past two decades. To mimic the capabilities of human skin, a multitude of flexible/stretchable sensors that detect physiological and environmental signals have been designed and integrated into functional systems. Recently, researchers have increasingly deployed machine learning and other artificial intelligence (AI) technologies to mimic the human neural system for the processing and analysis of sensory data collected by e-skins. Integrating AI has the potential to enable advanced applications in robotics, healthcare, and human-machine interfaces but also presents challenges such as data diversity and AI model robustness. In this review, we first summarize the functions and features of e-skins, followed by feature extraction of sensory data and different AI models. Next, we discuss the utilization of AI in the design of e-skin sensors and address the key topic of AI implementation in data processing and analysis of e-skins to accomplish a range of different tasks. Subsequently, we explore hardware-layer in-skin intelligence before concluding with an analysis of the challenges and opportunities in the various aspects of AI-enabled e-skins.
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What OpenQuestion 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 OpenQuestion graph.