Model of a Decision-Making System for the Diagnosis of Melanoma Using Artificial Intelligence

Interdisciplinary approaches to creating high-tech computer systems for the diagnosis of melanoma using artificial intelligence are presented. A model is proposed for the architecture of an interactive expert system. This includes a set of features for a contemporary medical algorithm (the Kittler algorithm) along with a knowledge base and a diagnosis evaluation score for the case under study. © 2021, Springer Science+Business Media, LLC, part of Springer Nature.

Authors
Nikitaev V.G.1 , Pronichev A.N.1 , Tamrazova O.B. 2 , Sergeev V.Y. 3 , Druzhinina E.A.1 , Medvedeva O.A.1 , Solomatin M.A.1
Journal
Biomedical Engineering
Publisher
Springer New York LLC
Number of issue
3
Language
English
Pages
215-218
Status
Published
Link
External link
DOI
10.1007/s10527-021-10104-z
Volume
55
Year
2021
Organizations
  • 1 National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation
  • 2 Peoples’ Friendship University of Russia, Moscow, Russian Federation
  • 3 Central State Medical Academy, Directorate of the President of the Russian Federation, Moscow, Russian Federation
Keywords
Decision making; Dermatology; Diagnosis; Expert systems; Oncology; Decision-making systems; High tech; Kittler; Knowledge base; Artificial intelligence; algorithm; Article; artificial intelligence; clinical decision making; computer model; melanoma
Date of creation
16.12.2021
Date of change
16.12.2021
Short link
https://repository.rudn.ru/en/records/article/record/76652/
Share

Other records