AIMC Topic: Wound Healing

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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...

Utilizing Image Processing Techniques for Wound Management and Evaluation in Clinical Practice: Establishing the Feasibility of Implementing Artificial Intelligence in Routine Wound Care.

Advances in skin & wound care
OBJECTIVE: To develop a generalizable and accurate method for automatically analyzing wound images captured in clinical practice and extracting key wound characteristics such as surface area measurement.

Generative Artificial Intelligence: Applications in Scientific Writing and Data Analysis in Wound Healing Research.

Advances in skin & wound care
Generative artificial intelligence (AI) models are a new technological development with vast research use cases among medical subspecialties. These powerful large language models offer a wide range of possibilities in wound care, from personalized pa...

3D Bioprinting Skin Equivalents: A Methodological Perspective on Human Keratinocyte and Fibroblast Models for Wound Repair and Regeneration.

Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
Three-dimensional (3D) bioprinting is a promising approach to developing reliable tissue substitutes for translational research. The great interest in creating skin substitutes still faces challenges considering its structural and cellular complexity...

How Successful Is AI in Developing Postsurgical Wound Care Education Material?

Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
ChatGPT can be used as an aid in education, research and clinical management. This study was conducted using the ChatGPT 4.0 program to develop artificial intelligence-supported wound care education material that can be read and understood by patient...

Automatic Classification of Wound Images Showing Healing Complications: Towards an Optimised Approach for Detecting Maceration.

Studies in health technology and informatics
This study aims to advance the field of digital wound care by developing and evaluating convolutional neural network (CNN) architectures for the automatic classification of maceration, a significant wound healing complication, in 458 annotated wound ...

Using Computer Vision and Artificial Intelligence to Track the Healing of Severe Burns.

Journal of burn care & research : official publication of the American Burn Association
Burn care management includes assessing the severity of burns accurately, especially distinguishing superficial partial-thickness burns from deep partial-thickness burns, in the context of providing definitive, downstream treatment. Moreover, the hea...

Artificial intelligence in wound care: diagnosis, assessment and treatment of hard-to-heal wounds: a narrative review.

Journal of wound care
The effective assessment of wounds, both acute and hard-to-heal, is an important component in the delivery by wound care practitioners of efficacious wound care for patients. Improved wound diagnosis, optimising wound treatment regimens, and enhanced...

[Effect of enzybiotics on the healing of Staphylococcus aureus-infected skin wounds in a pig model].

Klinicka mikrobiologie a infekcni lekarstvi
INTRODUCTION: Staphylococcus aureus is a gram-positive, facultatively anaerobic coccus capable of causing infectious diseases in animals and humans. Especially dangerous are multidrug-resistant forms with poor or even no response to available treatme...