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 develo** PI. Machine Learning (ML) …

Chronic wounds represent a major global health problem, causing staggering economic and
social burdens. The pursuit of effective wound healing strategies demands a …

There is a wide application of deep learning technique to unimodal medical image analysis
with significant classification accuracy performance observed. However, real-world …

Diagnosing burns in humans has become critical, as early identification can save lives. The
manual process of burn diagnosis is time-consuming and complex, even for experienced …

We present an automated wound localizer from 2D wound and ulcer images using a deep
neural network as the first step towards building an automatic and complete wound …

Objective This study determined the development trends, analyzed collaboration networks,
and identified research hotspots in the field of wearable sensors for wound care from 2007 …

Efficient wound assessment is essential for healthcare teams to facilitate prompt diagnosis,
optimize treatment plans, reduce workload, and enhance patients' quality of life. In recent …

Chronic wounds are a syndrome that affects around 4% of the world population due to
several pathologies. The COV-19 pandemic has enforced the need of develo** new …

Simple Summary In this work, we explored computational methods for analyzing a color
digital image of a wound and predicting (from the analyzed image) the number of days it will …

The classification of wound severity is a critical step in wound diagnosis. An effective
classifier can help wound professionals categorize wound conditions more quickly and …