Peer-Reviewed Publication
JAAD Int2024;1452-58.March 1, 2024Journal Article
Use of an elastic-scattering spectroscopy and artificial intelligence device in the assessment of lesions suggestive of skin cancer: A comparative effectiveness study.
Danielle Manolakos1, Genevieve Patrick2, John K Geisse3, Harold Rabinovitz4,5,6, Kendall Buchanan6, Preston Hoang7, Eladio Rodriguez-Diaz8, Irving J Bigio9, Armand B Cognetta2,10
1Gold Coast Dermatology Center, Delray Beach, Florida.
2Florida State University College of Medicine, Tallahassee, Florida.
3Departments of Dermatology and Pathology, University of California San Francisco, San Francisco, California.
4Skin and Cancer Associates, Plantation, Florida.
5Department of Dermatology, University of Miami School of Medicine, Miami, Florida.
6Medical College of Georgia, Augusta University, Augusta, Georgia.
7DermaSensor, Inc., Miami, Florida.
8Department of Biomedical Engineering, Boston University, Boston, Massachusetts.
9Department of Electrical & Computer Engineering, Boston University, Boston, Massachusetts.
10Dermatology Associates of Tallahassee, Tallahassee, Florida.
Abstract
BACKGROUND: Skin cancer is the most common form of cancer worldwide. As artificial intelligence (AI) expands its scope within dermatology, leveraging technology may aid skin cancer detection.
OBJECTIVE: To assess the safety and effectiveness of an elastic-scattering spectroscopy (ESS) device in evaluating lesions suggestive of skin cancer.
METHODS: This prospective, multicenter clinical validati…
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