Refinement of an Artificial Intelligence Algorithm for Enhanced Burn Wound Depth Assessment Using Multispectral Imaging: An Expanded Proof of Concept Study

With the advent of convolutional neural networks (CNNs), artificial intelligence is now applicable to visual fields. We used multispectral imaging (MSI) sensors capable of detecting wavelengths outside visible spectra to image burn wounds. The output was converted to pixel-level data and analyzed by...

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Bibliographic Details
Published in:	Journal of burn care & research Vol. 46; no. 6; p. 1302
Main Authors:	Carter, Jeffrey E, Shupp, Jeffrey W, Phelan, Herb A, Hickerson, William, Cockerell, Clay J, DiMaio, Michael, Holmes, 4th, James H
Format:	Journal Article
Language:	English
Published:	England 05.11.2025
Subjects:	Adult Algorithms Artificial Intelligence Burns - diagnostic imaging Burns - pathology Burns - therapy Child Deep Learning Female Humans Male Middle Aged Neural Networks, Computer Proof of Concept Study Prospective Studies burn depth deep learning convolutional neural network artificial intelligence
ISSN:	1559-0488, 1559-0488
Online Access:	Get more information
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