title: New diagnostics for melanoma detection: from artificial intelligence to RNA microarrays.
abstract: Early detection of melanoma remains crucial to ensuring a favorable prognosis. Dermoscopy and total body photography are well-established noninvasive aids that increase the diagnostic accuracy of dermatologists in their daily routine, beyond that of a naked-eye examination. New noninvasive diagnostic techniques, such as reflectance confocal microscopy, multispectral digital imaging and RNA microarrays, are currently being investigated to determine their utility for melanoma detection. This review presents emerging technologies for noninvasive melanoma diagnosis, and discusses their advantages and limitations.
authors: Department of Dermatology, Paracelsus Medical University of Salzburg, Salzburg, Austria.
authors: Verena
authors: V
authors: Ahlgrimm-Siess
authors: Martin
authors: M
authors: Laimer
authors: Edith
authors: E
authors: Arzberger
authors: Rainer
authors: R
authors: Hofmann-Wellenhof
mesh_terms: D001185:Artificial Intelligence; D046169:Dermoscopy / Q000295:instrumentation / Q000379:methods*; D042241:Early Diagnosis; D017097:Electric Impedance; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D008545:Melanoma / Q000175:diagnosis* / Q000000981:diagnostic imaging; D046228:Microarray Analysis / Q000379:methods*; D018613:Microscopy, Confocal / Q000379:methods; D012878:Skin Neoplasms / Q000175:diagnosis*; D013059:Spectrum Analysis, Raman / Q000379:methods; D014463:Ultrasonography