ArticleNature machine intelligence2023
Artificial Intelligence-Powered Electronic Skin.
Article in Nature machine intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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
62 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis.Journal of medical Internet research · 2025Pooled it
- Surface energy-directed assembly of liquid metal particles for intelligent wearable electronics.iScience · 2026Article
- Skin Relevant Biomaterials from Wound Healing, Medical Aesthetics, Flexible Electronics to Artificial Intelligence and Beyond.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- A wearable acoustofluidic patch for rapid reversal of opioid overdose.Nature communications · 2026Article
- A monolithic fabrication platform for intrinsically stretchable polymer transistors and complementary circuits.Device · 2026Article
- Human-inspired time-series health evaluation with an adaptive multimodal electronic skin.Science advances · 2026Article
- An intelligent electronic-textile system with adaptive sweat-regulation for continuous exercise-induced fatigue monitoring.Nature communications · 2026Article
- Advances and Challenges in Wearable Sensors for Health Monitoring.ACS applied materials & interfaces · 2026Review
- Wearable Sensing for Clinical Physiology Monitoring: Emerging Paradigms.Physiology (Bethesda, Md.) · 2026Review
- Vision-based tactile sensing enhanced by microstructures and lightweight convolutional neural network.Microsystems & nanoengineering · 2026Article
- Machine learning-assisted design of carbon nanotube edge computing circuits for monolithic epidermal systems.Nature communications · 2026Article
- Biofunctionalized polymer semiconductors toward soft and stretchable transistor-based biosensors.Science advances · 2026Article
- Dynamic Supramolecular Polyurethane Elastomers Enabling Bioinspired Strain-Adaptive Stiffening to Resolve the Softness-Strength Paradox.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Skin-mimicking biogel-based iontronic sensor with hierarchical bionic coupling for dexterous tactile e-skin.Nature communications · 2026Article
- Computationally intelligent calibration framework for durable soft strain sensors.Nature communications · 2026Article
- Customizing Tactile Sensors via Machine Learning-Driven Inverse Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Machine learning-driven alignment architecture of heterogeneous data with transient varying semantics.Nature communications · 2026Article
- Massively parallel in-sensor skinomorphic computing.Nature communications · 2026Article
- Ultrasoft Yet Tough Multifunctional Organohydrogels Enabled by Molecular Chain Lubrication Strategy for Self-Powered Wearable Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Ultrasensitive photodetectors enabled by pressure-induced atomic-level optimization of graphene-based heterojunctions.Nature communications · 2026Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Skin-interfaced electronics is gradually changing medical practices by enabling continuous and noninvasive tracking of physiological and biochemical information. With the rise of big data and digital medicine, next-generation electronic skin (e-skin) will be able to use artificial intelligence (AI) to optimize its design as well as uncover user-personalized health profiles. Recent multimodal e-skin platforms have already employed machine learning (ML) algorithms for autonomous data analytics. Unfortunately, there is a lack of appropriate AI protocols and guidelines for e-skin devices, resulting in overly complex models and non-reproducible conclusions for simple applications. This review aims to present AI technologies in e-skin hardware and assess their potential for new inspired integrated platform solutions. We outline recent breakthroughs in AI strategies and their applications in engineering e-skins as well as understanding health information collected by e-skins, highlighting the transformative deployment of AI in robotics, prosthetics, virtual reality, and personalized healthcare. We also discuss the challenges and prospects of AI-powered e-skins as well as predictions for the future trajectory of smart e-skins.
Indexed as
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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.