Smart sensors and wound dressings: Artificial intelligence-supported chronic skin monitoring–A review

D Prakashan, A Kaushik, S Gandhi - Chemical Engineering Journal, 2024 - Elsevier
Integration of intelligent and efficient wearable sensors with well-optimized wound dressing
bandages holds a technological transformative era wherein contactless chronic skin …

Machine learning techniques, applications, and potential future opportunities in pressure injuries (bedsores) management: a systematic review

OY Dweekat, SS Lam, L McGrath - International journal of environmental …, 2023 - mdpi.com
Pressure Injuries (PI) are one of the most common health conditions in the United States.
Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) …

Digital twin in healthcare: a study for chronic wound management

S Sarp, M Kuzlu, Y Zhao… - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
Although the concept of digital twin technology has been in existence for nearly half a
century, its application in healthcare is a relatively recent development. In healthcare, the …

The impact of machine learning on the prediction of diabetic foot ulcers–a systematic review.

T Weatherall, P Avsar, L Nugent, Z Moore… - Journal of Tissue …, 2024 - Elsevier
Introduction Globally, diabetes mellitus poses a significant health challenge as well as the
associated complications of diabetes, such as diabetic foot ulcers (DFUs). The early …

Engineered nanotechnology: an effective therapeutic platform for the chronic cutaneous wound

S Mallick, M Nag, D Lahiri, S Pandit, T Sarkar, S Pati… - Nanomaterials, 2022 - mdpi.com
The healing of chronic wound infections, especially cutaneous wounds, involves a complex
cascade of events demanding mutual interaction between immunity and other natural host …

Wound management materials and technologies from bench to bedside and beyond

C Wang, E Shirzaei Sani, CD Shih, CT Lim… - Nature Reviews …, 2024 - nature.com
Chronic wounds represent a major global health problem, causing staggering economic and
social burdens. The pursuit of effective wound healing strategies demands a …

AI-assisted assessment of wound tissue with automatic color and measurement calibration on images taken with a smartphone

S Chairat, S Chaichulee, T Dissaneewate… - Healthcare, 2023 - mdpi.com
Wound assessment is essential for evaluating wound healing. One cornerstone of wound
care practice is the use of clinical guidelines that mandate regular documentation, including …

The future of artificial intelligence in surgery

A Hamilton - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Until recently, innovations in surgery were largely represented by extensions or
augmentations of the surgeon's perception. This includes advancements such as the …

[HTML][HTML] Current status, challenges, and prospects of artificial intelligence applications in wound repair theranostics

H Liu, W Sun, W Cai, K Luo, C Lu, A Jin, J Zhang… - …, 2025 - pmc.ncbi.nlm.nih.gov
Skin injuries caused by physical, pathological, and chemical factors not only compromise
appearance and barrier function but can also lead to life-threatening microbial infections …

Progress in the application of artificial intelligence in skin wound assessment and prediction of healing time

MY Chen, MQ Cao, TY Xu - American Journal of Translational …, 2024 - pmc.ncbi.nlm.nih.gov
Since the 1970s, artificial intelligence (AI) has played an increasingly pivotal role in the
medical field, enhancing the efficiency of disease diagnosis and treatment. Amidst an aging …