Imagine you are a kid again. For sure while playing or running you hurt yourself at least once in a lifetime. You noticed that the shape and size of wounds underwent change as the healing process progressed. There are, however, wounds which treatment process is not as simple as the common abrasions. Happily, planimetry IT tools can support the monitoring of wound healing processes efficiently.
At each stage of the healing process, wound’s surface, shape or color have specific parameters and a different look. Especially, if the wounds are inflicted with a blunt tool, they are large or requiring hospitalization.
Observing whether the healing process is proceeding correctly or not, is a common problem for many patients and their doctors. The challenge was to code a tool which automatically monitors and predicts the whole process.
In order to facilitate the automatic monitoring of the healing process, Stermedia created a dedicated software application. This system based on neural networks, machine learning mechanisms, and image recognition in order to assure effective treatment. First of all, you load a photo of the injured surface from your smartphone or tablet and makes a contour of the wound shape. Secondly, you can add elements like patient data, dates of consultations, medical comments at individual stages of the treatment process. The more extra information, the better. After some time you load the next photo. The system shows changes in the wound healing process throughout the entire process. Then the physician can see how the outline or color of the wounded area has changed.
Based on the system, a physician makes a better prognosis. At an early stage, as the patient, you can get the full range of information and better prepare for future treatment. You will get to know:
1) if the wound is proceeding in the right direction
2) if not, what are the anomalies of the normal healing processes in your case
3) what changes in the treatment are necessary to bring the expected results
The tool developed by Stermedia.ai can be used by clinics and physicians dealing with the treatment of many types of wounds. It increases efficiency and efficacy of care. In the future, this versatile tool can be used, among others for fast analysis of emerging skin lesions in terms of early detection of skin cancers.