AWS Machine Learning Blog: Modernizing wound care with Spectral MD, powered by Amazon SageMaker - Aug 2019

SpectralMD Press Release - July 2019

ASPR's Biomedical Advanced Research and Development Authority (BARDA) Press Release - July 2019

CBRNE Central: U.S. invests in burn imaging device for mass casualty preparedness Article - July 2019


Twitter News - July 2019:


LinkedIn News - July 2019:




Thatcher et al. Imaging techniques for clinical burn assessment with a focus on multispectral imaging. Advances in Wound Care 2016; epub ahead of print. (Publication)


Thatcher et al. Multispectral and photoplethysmography optical imaging techniques identify important tissue characteristics in an animal model of tangential burn excision. Journal of Burn Care & Research 2016;37:38-52. (Publication)


Li et al. Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging. Journal of Biomedical Optics 2015;20:121305. (Publication)


King et al. Surgical wound debridement sequentially characterized in a porcine burn model with multispectral imaging. Burns 2015;41:1478-1487. (Publication)


Moza et al. Deep-tissue dynamic monitoring of decubitus ulcers: wound care and assessment. IEEE Engineering in Medicine and Biology Magazine 2010;29:71-77. (Publication)




Squiers et al. Multispectral imaging burn wound tissue classification system: a comparison of test accuracies of several common machine learning algorithms. SPIE Proceedings Vol. 9785, Medical imaging 2016: Computer-Aided Diagnosis 2016:97853L. (Publication)


Li et al. Burn injury diagnostic imaging device's accuracy improved by outlier detection and removal. SPIE Proceedings Vol. 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI 2015:947206. (Publication)


Mo et al. The importance of illumination in a non-contact photoplethysmography imaging system for burn wound assessment. SPIE Proceedings Vol. 9303, Photonic Therapeutics and Diagnostics XI2015:9303M. (Publication)


Thatcher et al. Dynamic tissue phantoms and their use in assessment of a noninvasive optical plethysmography imaging device. SPIE Proceedings Vol. 9107, Smart Biomedical and Physiological Sensor Technology XI 2014:910718. (Publication)



IBM Case Study Articles:


© 2020 SpectralMD, Inc. All rights reserved.

Spectral MD Icon

2515 McKinney Avenue, Ste. 1000; Dallas, TX 75201

Custom website proudly designed by Cloud 10 Studios, LLC. | Site Map