TABLE 1.

Various wound imaging techniques.

Wound imaging technique	Imaging principle	Advantages	Disadvantages
Digital photography 4 , 7 , 8 , 9 , 10	Digital photography captures a wound image through an optical lens, converts the optical signal into an electrical signal, and ultimately produces a digital image	High resolution; Immediacy; Storable and shareable; Non‐invasive	Deep tissue assessment limitations; High environmental impact; Dependence on equipment; High operational skill requirements; Difficulty in data management
3D wound model 11 , 12 , 13 , 14 , 15	The creation of a 3D wound model is accomplished through the steps of image acquisition (e.g., digital photographyetc.), data processing, 3D reconstruction	Precision; Visualization effect; Non‐invasive	High equipment costs; High technical requirements; Long time consumption; Difficult in data management; High environmental dependency
Optical imaging 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23	Optical imaging utilizes the principles of reflection and transmission of light to capture images of wounds through optical devices such as cameras and lenses	High resolution; Real‐time; Easy to operate; Low cost; Radiation‐free	Limited imaging depth; Light dependence; Viewing angle limitations; High information processing needs; Inability to penetrate obstacles
High frequency ultrasound 24 , 25	High‐frequency ultrasound imaging utilizes the principles of reflection and transmission of sound waves to generate an image of a wound by sending high‐frequency sound waves and receiving their reflected signals	High resolution; No radiation; Real‐time imaging; Portability; Tissue characterization	Imaging depth limitations; Operator skill dependent; Gas interference; Field of view limitations; Resolution decay
Fluorescence imaging 26 , 27	Fluorescence imaging is a technique that uses fluorescent signals to generate images, usually by injecting or applying a fluorescent dye to enhance the visualization of tissue	High sensitivity; High specificity; Real‐time imaging; Deep imaging; Multiple imaging	Photobleaching; Operational complexity; Fluorescent background noise interference; High cost
Artificial intelligence 6 , 28 , 29	Artificial intelligence in wound imaging focuses on analysing and processing images through machine learning and deep learning techniques	High efficiency; High consistency; High precision; Personalized medicine; High learning capacity	Data dependency; High technological threshold; Privacy and security issues; Ethical issues