NEWS HIGHLIGHT
LATEST NEWS
PUBLICATIONS
LATEST PUBLICATIONS
AWS Machine Learning Blog: Modernizing wound care with Spectral MD, powered by Amazon SageMaker - Aug 2019
https://aws.amazon.com/blogs/machine-learning/modernizing-wound-care-with-spectral-md-powered-by-amazon-sagemaker/
SpectralMD Press Release - July 2019
ASPR's Biomedical Advanced Research and Development Authority (BARDA) Press Release - July 2019
https://www.phe.gov/Preparedness/news/Pages/burn-imaging-18July19.aspx
CBRNE Central: U.S. invests in burn imaging device for mass casualty preparedness Article - July 2019
https://cbrnecentral.com/u-s-invests-27m-in-burn-imaging-device-for-mass-casualty-preparedness/19757/
Twitter News - July 2019:
https://twitter.com/PHEgov/status/1151859453635047425
https://twitter.com/BARDA/status/1151859864265797633
LinkedIn News - July 2019:
https://www.linkedin.com/feed/update/urn:li:activity:6557624536693514241
https://www.linkedin.com/feed/update/urn:li:activity:6557625835099078657
PEER REVIEWED MANUSCRIPTS
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)
CONFERENCE PROCEEDINGS
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)
CASE STUDIES
IBM Case Study Articles:
PRESS RELEASES
SpectralMD Press Release - July 2019
ASPR's Biomedical Advanced Research and Development Authority (BARDA) Press Release - July 2019
Chief Scientist Thatcher awarded Burke/Yannas Award from the American Burn Association - April 2015
HHS/BARDA funds development of device to aid burn patients in disasters - September 2013
First Generation DeepView Wound Imaging System receives 510(k) clearance from the FDA - June 2013
Spectral MD awarded National Science Foundation grant - March 2011
Identification of deep wounds during first-in-man experience - September 2009
Spectral MD spinout from medical center - March 2009