Open AccessClinical aspects of using artificial intelligence for the interpretation of chest X-rays
Author(s) -
С. П. Морозов,
Д. Ю. Кокина,
Nikolai Pavlov,
Ю. С. Кирпичев,
В. А. Гомболевский,
А. Е. Андрейченко
Publication year - 2021
Publication title -
tuberkulez i bolezni lëgkih/tuberkulëz i bolezni lëgkih
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.226
H-Index - 12
eISSN - 2542-1506
pISSN - 2075-1230
DOI - 10.21292/2075-1230-2021-99-4-58-64
Subject(s) - interpretation (philosophy) , pulmonary tuberculosis , pneumonia , medical physics , medicine , computer science , tuberculosis , intensive care medicine , radiology , pathology , programming language
The review considers the possible use of artificial intelligence for the interpretation of chest X-rays by analyzing 45 publications. Experimental and commercial diagnostic systems for pulmonary tuberculosis, pneumonia, neoplasms and other diseases have been analyzed.