Authors:	Jartarkar, Shishira R. Patil, Anant Wollina, Uwe Gold, Michael H. Stege, Henner Grabbe, Stephan Goldust, Mohamad
Title:	New diagnostic and imaging technologies in dermatology
Online publication date:	6-Sep-2022
Year of first publication:	2021
Language:	english
Abstract:	Introduction Diagnosis of dermatological disorders is primarily based on clinical examination in combination with histopathology. However, clinical findings alone may not be sufficient for accurate diagnosis and cutaneous biopsies are being associated with morbidity. Objective The objective of this article is to review the newer technologies along with their applications, limitation and future prospectus. Methodology Comprehensive literature search was performed using electronic online databases “PubMed” and “Google Scholar”. Articles published in English language were considered for the review. Results In order to improve and/or widen the armamentarium in dermatologic disease diagnosis and therapy, newer emerging technologies are being made available which aid in diagnosis and management. New emerging technologies include confocal microscopy, digital photographic imaging, optical coherence tomography, high frequency ultrasonography, and artificial intelligence. There have been advancements in the dermoscopes. Conclusion Significant progress is seen in the diagnostic methods and imaging technologies in dermatology, each having its advantages and limitations. Artificial intelligence/machine-based learning software may have a great scope to influence the dermatological practice.
DDC:	610 Medizin 610 Medical sciences
Institution:	Johannes Gutenberg-Universität Mainz
Department:	FB 04 Medizin
Place:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-7686
Version:	Published version
Publication type:	Zeitschriftenaufsatz
License:	CC BY-NC
Information on rights of use:	https://creativecommons.org/licenses/by-nc/4.0/
Journal:	Journal of cosmetic dermatology 20 12
Pages or article number:	3782 3787
Publisher:	Wiley-Blackwell
Publisher place:	Oxford
Issue date:	2021
ISSN:	1473-2165
Publisher DOI:	10.1111/jocd.14499
Appears in collections:	JGU-Publikationen