Healing of large wounds is not an easy process. It requires constant monitoring of treatment progress. Why not use a software application to get the job done?
The use of computers or smartphones in the support of medical diagnosis or treatment is becoming more prevalent and popular. Telemedicine is showing up in everyday life more and more. Observing the development of technology, not only in remotely performed measurements of basic parameters constitute the value of IT use in medicine. Advanced techniques of data or image analysis (machine or deep learning) are embedded in more and more applications.
Each of us has met with a scab after a cut, at least once in a lifetime. We remember that the shape and size of wounds underwent changes as the healing process progressed. There are, however, wounds which treatment process is not as simple as the common abrasion of the elbow or knee. For example, wounds inflicted with a blunt tool, wounds with a large area, wounds requiring hospitalization. Contrary to appearances, these are not rare cases.
If the wound has a large area – you need to observe whether the healing process is proceeding correctly or not. Here, modern IT tools can help. Firstly, the wound healing process needs to be tracked: how the surface, shape or color of the wound is changing? At each stage of the healing process, these issues have specific parameters and a different look.
In order to facilitate the automatic monitoring of the healing process, you can teach the system, what series of changes are characteristic of the normal healing processes, and which signals that the treatment is not bringing the expected results. Through the use of neural networks, machine learning mechanisms and image recognition, it is possible to create such a system.
The system developed by Stermedia team supporting the monitoring of wound healing processes was primarily equipped with a user-friendly interface. Initially, the user loads a photo of the injured surface and make a contour of the wound shape. Then our team added further elements: patient data, data on the dates of consultations, medical comments at individual stages of the treatment process. Finally, after loading the next photo (from smartphones, tablets), the system shows changes in the wound healing process throughout the entire process, not just the last photo. Then the physician can see how the outline or color of the wounded area has changed and make better prognosis. On the basis of previously entered data, it also gets information whether the process is proceeding in the right direction or some change is necessary to change in the approach.
The tool developed by Stermedia.ai can be used by clinics and physicians dealing with the treatment of many types of wounds and increase 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.