Please use this identifier to cite or link to this item: https://essuir.sumdu.edu.ua/handle/123456789/87862
Or use following links to share this resource in social networks: Recommend this item
Title Artificial Intelligence Approach in Prostate Cancer Diagnosis: Bibliometric Analysis
Authors Denysenko, Anastasiia Petrivna  
Savchenko, Taras Ruslanovych  
Dovbysh, Anatolii Stepanovych  
Romaniuk, Anatolii Mykolaiovych  
Moskalenko, Roman Andriiovych  
ORCID http://orcid.org/0000-0001-9223-782X
http://orcid.org/0000-0002-9557-073X
http://orcid.org/0000-0003-1829-3318
http://orcid.org/0000-0003-2560-1382
http://orcid.org/0000-0002-2342-0337
Keywords штучний інтелект
исскуственный интеллект
artificial intelligence
рак простати
рак простаты
prostate cancer
шкала Глісона
шкала Глисона
Gleason score
бібліометричний аналіз
библиометрический анализ
bibliometric analysis
Type Article
Date of Issue 2022
URI https://essuir.sumdu.edu.ua/handle/123456789/87862
Publisher Івано-Франківський Національний медичний університет
License Creative Commons Attribution - NonCommercial 4.0 International
Citation Denysenko A., Savchenko T., Dovbysh A., Romaniuk A., Moskalenko R. Artificial Intelligence Approach in Prostate Cancer Diagnosis: Bibliometric Analysis // Galician medical journal. 2022, Vol. 29, Issue 2, E202225. DOI: 10.21802/gmj.2022.2.5
Abstract Background. Prostate cancer is one of the most common male malignancies worldwide that ranks second in cancer-related mortality. Artificial intelligence can reduce subjectivity and improve the efficiency of prostate cancer diagnosis using fewer resources as compared to standard diagnostic scheme. This review aims to highlight the main concepts of prostate cancer diagnosis and artificial intelligence application and to determine achievements, current trends, and potential research directions in this field, using bibliometric analysis. Materials and Methods. The studies on the application of artificial intelligence in the morphological diagnosis of prostate cancer for the past 35 years were searched for in the Scopus database using “artificial intelligence” and “prostate cancer” keywords. The selected studies were systematized using Scopus bibliometric tools and the VOSviewer software. Results. The number of publications in this research field has drastically increased since 2016, with most research carried out in the United States, Canada, and the United Kingdom. They can be divided into three thematic clusters and three qualitative stages in the development of this research field in timeline aspect. Conclusions. Artificial intelligence algorithms are now being actively developed, playing a huge role in the diagnosis of prostate cancer. Further development and improvement of artificial intelligence algorithms have the potential to automate and standardize the diagnosis of prostate cancer.
Appears in Collections: Наукові видання (НН МІ)

Views

Albania Albania
1
Australia Australia
12596659
Brazil Brazil
1
China China
1
Côte d’Ivoire Côte d’Ivoire
1
Egypt Egypt
1
France France
1
Germany Germany
-1082337036
Hong Kong SAR China Hong Kong SAR China
1
Hungary Hungary
468669820
Iceland Iceland
1
India India
1205782615
Indonesia Indonesia
1
Iran Iran
-295173787
Ireland Ireland
-295173788
Japan Japan
-295173786
Libya Libya
1
Lithuania Lithuania
1
Macao SAR China Macao SAR China
1
Mexico Mexico
81919
New Zealand New Zealand
1
Nigeria Nigeria
1
Norway Norway
1
Pakistan Pakistan
1
Singapore Singapore
1205782617
Spain Spain
1
Sri Lanka Sri Lanka
1
Sweden Sweden
1
Taiwan Taiwan
-1913148745
Tajikistan Tajikistan
1
Turkey Turkey
-98108527
Ukraine Ukraine
-1751045560
United Kingdom United Kingdom
781226240
United States United States
-295173790
Unknown Country Unknown Country
-70437754
Vietnam Vietnam
95

Downloads

Brazil Brazil
1
China China
-295173789
Denmark Denmark
9495
Egypt Egypt
1
Finland Finland
203
France France
1
Germany Germany
468669807
Ghana Ghana
30685
Hong Kong SAR China Hong Kong SAR China
1
India India
781226244
Indonesia Indonesia
1
Iran Iran
12596660
Ireland Ireland
1
Italy Italy
1
Libya Libya
1
Nigeria Nigeria
-1913148740
Poland Poland
-98108526
Singapore Singapore
1
South Africa South Africa
1
Spain Spain
1
Sri Lanka Sri Lanka
1
Turkey Turkey
43197364
Ukraine Ukraine
-1751045559
United Arab Emirates United Arab Emirates
1
United States United States
1205782619
Unknown Country Unknown Country
-70437753
Vietnam Vietnam
1

Files

File Size Format Downloads
Denysenko_gmj-29-E202225.pdf 1.2 MB Adobe PDF -1616401276

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.