Every year over 2% of the worldwide population (estimated 20 million people between US and Europe) will develop a cutaneous wound during their lifetime experiencing chronic pain, reduced mobility and a high amputation and mortality risk (75% within 5 years). Aging of the population and a sharp rise in the incidence of obesity and chronic diseases such as diabetes are the main drivers of this epidemic that is forecast to grow with a 5-8% rate over the following 5 years. Clinical studies proved that is possible to reduce healing time and the advent of adverse consequences of 50% carrying out a monitoring of the variation of key parameters. Nowadays physicians don’t have access to a precise decision-supporting tool to valuate and monitor healing process and the effectiveness of the delivered treatment. Our solution is called Wound Viewer, a Class 1 medical device able to acquire and automatically process wound images through an artificial intelligence (AI) algorithm providing to the physician fundamental parameters such as area, depth, recognize the tissue composing the wound (example: granular, necrotic) and wound exudate. Wound Viewer has been tested on over 400 patients reaching a measurement accuracy of over 94%.

Live Demonstration: 3D Wound Detection & Tracking System Based on Artificial Intelligence Algorithm / Farina, Marco; Secco, Jacopo. - (In corso di stampa). ((Intervento presentato al convegno Biomedical Circuits and Systems Conference (BioCAS).

Live Demonstration: 3D Wound Detection & Tracking System Based on Artificial Intelligence Algorithm

FARINA, MARCO;SECCO, JACOPO
In corso di stampa

Abstract

Every year over 2% of the worldwide population (estimated 20 million people between US and Europe) will develop a cutaneous wound during their lifetime experiencing chronic pain, reduced mobility and a high amputation and mortality risk (75% within 5 years). Aging of the population and a sharp rise in the incidence of obesity and chronic diseases such as diabetes are the main drivers of this epidemic that is forecast to grow with a 5-8% rate over the following 5 years. Clinical studies proved that is possible to reduce healing time and the advent of adverse consequences of 50% carrying out a monitoring of the variation of key parameters. Nowadays physicians don’t have access to a precise decision-supporting tool to valuate and monitor healing process and the effectiveness of the delivered treatment. Our solution is called Wound Viewer, a Class 1 medical device able to acquire and automatically process wound images through an artificial intelligence (AI) algorithm providing to the physician fundamental parameters such as area, depth, recognize the tissue composing the wound (example: granular, necrotic) and wound exudate. Wound Viewer has been tested on over 400 patients reaching a measurement accuracy of over 94%.
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Descrizione: Articolo accettato BIOCAS 2017
Tipologia: 2. Post-print / Author's Accepted Manuscript
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2679593
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