We're delighted to announce that Pixacare, a pioneer in the use of artificial intelligence (AI) in healthcare, has won the prestigious i-Lab 2021 national competition. Our innovative project, ScarSpy, shone among hundreds of entrants, demonstrating the transformational impact of AI technology in post-operative care monitoring.
ScarSpy is an AI algorithm designed to detect and monitor post-operative wound complications. Complications, such as surgical site infection (SSI), necrosis and disunion, can significantly influence the healing process and the patient's overall health. Using AI, ScarSpy aims to automate the detection of these complications, enabling earlier and more effective treatment.
ScarSpy will be integrated into Pixacare Application to make surgical wound monitoring more accessible and efficient for healthcare professionals and patients alike.
The first step in the process involves photographic documentation of post-operative wounds by homecare nurses or the patients themselves. These images hosted in Pixacare Application are analyzed by the AI algorithm, ScarSpy.
This algorithm has been trained to recognize early signs of complications. Thanks to advanced machine learning and image analysis techniques, ScarSpy can automatically detect signs of complication in photos of the wound. When a potential complication is detected, an alert is generated and sent to healthcare professionals, enabling early intervention and rapid adaptation of treatment.
ScarSpy offers numerous benefits for patients, healthcare professionals and the healthcare system in general.
For patients, this means better management of complications, which can potentially accelerate healing and improve quality of life.
For the healthcare system, ScarSpy could lead to a significant reduction in hospital readmissions and length of stay, lower transport costs, and an overall reduction in healthcare costs.
Winning the i-Lab competition is a validation of our commitment to bringing meaningful innovation to healthcare through AI. We look forward to further developing ScarSpy and seeing its positive impact on post-operative care monitoring.
