Artificial Intelligence‑Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring

Artificial Intelligence‑Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring
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Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring - Nano-Micro Letters

Refractory wounds cause significant harm to the health of patients and the most common treatments in clinical practice are surgical debridement and wound dressings. However, certain challenges, including surgical difficulty, lengthy recovery times, and a high recurrence rate persist. Conductive hydrogel dressings with combined monitoring and therapeutic properties have strong advantages in promoting wound healing due to the stimulation of endogenous current on wounds and are the focus of recent advancements. Therefore, this review introduces the mechanism of conductive hydrogel used for wound monitoring and healing, the materials selection of conductive hydrogel dressings used for wound monitoring, focuses on the conductive hydrogel sensor to monitor the output categories of wound status signals, proving invaluable for non-invasive, real-time evaluation of wound condition to encourage wound healing. Notably, the research of artificial intelligence (AI) model based on sensor derived data to predict the wound healing state, AI makes use of this abundant data set to forecast and optimize the trajectory of tissue regeneration and assess the stage of wound healing. Finally, refractory wounds including pressure ulcers, diabetes ulcers and articular wounds, and the corresponding wound monitoring and healing process are discussed in detail. This manuscript supports the growth of clinically linked disciplines and offers motivation to researchers working in the multidisciplinary field of conductive hydrogel dressings.

As chronic wounds such as diabetic ulcers, pressure ulcers, and articular wounds continue to challenge global healthcare systems, a team of researchers from China has introduced a promising innovation: AI-integrated conductive hydrogel dressings for intelligent wound monitoring and healing.

This comprehensive review, led by researchers from China Medical University and Northeastern University, outlines how these smart dressings combine real-time physiological signal detection with artificial intelligence, offering a new paradigm in personalized wound care.

Why It Matters:

  • Real-Time Monitoring: Conductive hydrogels can track key wound parameters such as temperature, pH, glucose levels, pressure, and even pain signals—providing continuous, non-invasive insights into wound status.
  • AI-Driven Analysis: Machine learning algorithms (e.g., CNN, KNN, ANN) process sensor data to predict healing stages, detect infections early, and guide treatment decisions with high accuracy (up to 96%).
  • Multifunctional Integration: These dressings not only monitor but also actively promote healing through electroactivity, antibacterial properties, and drug release capabilities.

Key Features:

  • Material Innovation: The review discusses various conductive materials (e.g., CNTs, graphene, MXenes, conductive polymers) and their roles in enhancing biocompatibility, sensitivity, and stability.
  • Smart Signal Output: Different sensing mechanisms—such as colorimetry, resistance variation, and infrared imaging—enable multimodal monitoring tailored to wound types.
  • Clinical Applications: The paper highlights applications in pressure ulcers, diabetic foot ulcers, and joint wounds, emphasizing the potential for home care, remote monitoring, and early intervention.

Challenges & Future Outlook:

Despite promising advances, issues such as material degradation, signal stability, and AI model generalizability remain. Future efforts will focus on multidimensional signal fusion, algorithm optimization, and clinical translation to bring these intelligent dressings into mainstream healthcare.

This work paves the way for next-generation wound care, where smart materials meet smart algorithms—offering hope for millions suffering from chronic wounds.

Stay tuned for more innovations at the intersection of biomaterials, AI, and personalized medicine!

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Biomaterials
Physical Sciences > Materials Science > Biomaterials
Artificial Intelligence
Mathematics and Computing > Computer Science > Artificial Intelligence
Gels and Hydrogels
Physical Sciences > Materials Science > Soft Materials > Gels and Hydrogels
Sensors and Biosensors
Physical Sciences > Materials Science > Materials for Devices > Sensors and Biosensors
Soft Materials
Physical Sciences > Materials Science > Soft Materials
  • Nano-Micro Letters Nano-Micro Letters

    Nano-Micro Letters is a peer-reviewed, international, interdisciplinary and open-access journal that focus on science, experiments, engineering, technologies and applications of nano- or microscale structure and system in physics, chemistry, biology, material science, and pharmacy.