AI technology for remote clinical assessment and monitoring.

Journal: Journal of wound care
Published Date: Dec 2, 2020

Abstract

OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered, portable and non-invasive medical device called Wound Viewer. The AI medical device uses dedicated sensors and AI algorithms to remotely collect objective and precise clinical data, including three-dimensional (3D) wound measurements, tissue composition and wound classification through the internationally recognised Wound Bed Preparation (WBP) protocol; this data can then be shared through a secure General Data Protection Regulation (GDPR)- and Health Insurance Portability and Accountability Act (HIPAA)-compliant data transfer system. This trial aims to test the reliability and precision of the AI medical device and its ability to aid health professionals in clinically evaluating wounds as efficiently remotely as at the bedside.

Authors

  • Gianluca Zoppo
    Department of Electronic Engineering and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
  • Francesco Marrone
    Department of Electronic Engineering and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
  • Monica Pittarello
    Department of Surgery 2, Clinica San Luca, Strada della Vetta 3, 10020, Torino, Italy.
  • Marco Farina
    Department of Electronic Engineering and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
  • Alberto Uberti
    Department of Management Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
  • Danilo Demarchi
    Department of Electronic Engineering and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
  • Jacopo Secco
    Department of Electronic Engineering and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
  • Fernando Corinto
    Department of Electronic Engineering and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
  • Elia Ricci
    Department of Electronic Engineering and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.

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