AIMC Topic: Wound Healing

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Rapid identification of slow healing wounds.

Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
Chronic nonhealing wounds have a prevalence of 2% in the United States, and cost an estimated $50 billion annually. Accurate stratification of wounds for risk of slow healing may help guide treatment and referral decisions. We have applied modern mac...

Telemedicine Supported Chronic Wound Tissue Prediction Using Classification Approaches.

Journal of medical systems
Telemedicine helps to deliver health services electronically to patients with the advancement of communication systems and health informatics. Chronic wound (CW) detection and its healing rate assessment at remote distance is very much difficult due ...

PredyCLU: a prediction system for chronic leg ulcers based on fuzzy logic; part I - exploring the venous side.

International wound journal
Chronic leg ulcers (CLUs) are a common occurrence in the western population and are associated with a negative impact on the quality of life of patients. They also cause a substantial burden on the health budget. The pathogenesis of leg ulceration is...

Machine learning in burn care and research: A systematic review of the literature.

Burns : journal of the International Society for Burn Injuries
BACKGROUND: To date, there are no reviews on machine learning (ML) in burn care. Considering the growth of ML in medicine and the complexities and challenges of burn care, this review specializes on ML applications in burn care. The objective was to ...

Development of a self-healing soft pneumatic actuator: a first concept.

Bioinspiration & biomimetics
Inspired by the intrinsic softness and the corresponding embodied intelligence principles, soft pneumatic actuators (SPA) have been developed, which ensure safe interaction in unstructured, unknown environments. Due to their intrinsic softness, these...

Nanofiber-Based Biomimetic Platforms for Chronic Wound Healing: Recent Innovations and Future Directions.

Tissue engineering and regenerative medicine
BACKGROUND: Wound healing remains a significant challenge in healthcare, particularly for complex and chronic wounds where conventional treatments often fail to provide effective solutions. Recent advances in nanofiber technology have opened new aven...

Assessing Clinician Consistency in Wound Tissue Classification and the Value of AI-Assisted Quantification: A Cross-Sectional Study.

International wound journal
This study investigatedĀ the relationship between clinician assessments and the AI-generated scores, highlighting how correlations vary based on clinician expertise. It also explored the proportion of tissue types identified by clinicians relative to ...

Interpretable deep learning method to predict wound healing progress based on collagen fibers in wound tissue.

Computers in biology and medicine
BACKGROUND AND OBJECTIVE: The dynamic evolution of collagen fibers during wound healing is crucial for assessing repair progression, guiding clinical treatment, and drug screening. Current quantitative methods analyzing collagen spatial patterns (den...

[Expert consensus on systematic assessment and treatment of refractory wounds in the elderly (2025 edition)].

Zhonghua shao shang yu chuang mian xiu fu za zhi
Early prevention and standardized management of refractory wounds in the elderly are very important for improving prognosis, reducing disability rate, and improving the quality of life of patients. For the diagnosis and treatment of refractory wounds...