Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385810685> ?p ?o ?g. }
- W4385810685 endingPage "152" @default.
- W4385810685 startingPage "146" @default.
- W4385810685 abstract "Background. At the current stage of science and technology development, artificial intelligence (AI) is being actively developed and gradually introduced into the healthcare system. Aim. To perform a literature review to assess the diagnostic value of AI in the detection of bladder cancer at the cystoscopy stage. Materials and methods. We carried out a bibliographic search of articles in Medline and Embase databases using the keywords “artificial intelligence”, “cystoscopy”, “TURBT”. Results. Automated image processing based on AI can improve the accuracy of cancer diagnosis during cystoscopy. According to the studies presented in the review, the sensitivity of AI system for the detection of bladder cancer via cystoscopy can reach 89.7–95.4 %, while its specificity is 87.8–98.6 %, which exceeds the diagnostic capabilities of standard cystoscopy in white light, the sensitivity and specificity of which, according to recent investigations, are approximately 60 and 70 %, respectively. Despite the promising results of these studies, modern science is currently at the stage of developing and evaluating the performance of various AI methods used to analyze cystoscopy images. To date, it would be premature to introduce and widely use these technologies in healthcare, since there are no prospective clinical studies to assess the effectiveness of AI systems in diagnostic cystoscopy and transurethral resection of bladder cancer. Conclusion. Few studies show that AI-based cystoscopy is a promising approach to improvement of the quality of medical care for bladder cancer. Further research is needed to improve the diagnostic capabilities of AI and introduce the obtained technological data into clinical practice." @default.
- W4385810685 created "2023-08-15" @default.
- W4385810685 creator A5019096002 @default.
- W4385810685 creator A5037620917 @default.
- W4385810685 creator A5066519690 @default.
- W4385810685 creator A5092637028 @default.
- W4385810685 date "2023-08-14" @default.
- W4385810685 modified "2023-09-26" @default.
- W4385810685 title "Use of artificial intelligence in diagnostic cystoscopy of bladder cancer" @default.
- W4385810685 cites W1568587956 @default.
- W4385810685 cites W1996056683 @default.
- W4385810685 cites W2126938607 @default.
- W4385810685 cites W2339886540 @default.
- W4385810685 cites W2382963925 @default.
- W4385810685 cites W2581082771 @default.
- W4385810685 cites W2595884292 @default.
- W4385810685 cites W2759647190 @default.
- W4385810685 cites W2770853452 @default.
- W4385810685 cites W2777820253 @default.
- W4385810685 cites W2783201053 @default.
- W4385810685 cites W2792927621 @default.
- W4385810685 cites W2804256492 @default.
- W4385810685 cites W2804292193 @default.
- W4385810685 cites W2886205008 @default.
- W4385810685 cites W2901624530 @default.
- W4385810685 cites W2905167757 @default.
- W4385810685 cites W2920811314 @default.
- W4385810685 cites W2943967184 @default.
- W4385810685 cites W2945373215 @default.
- W4385810685 cites W2957132740 @default.
- W4385810685 cites W2964227007 @default.
- W4385810685 cites W2969427054 @default.
- W4385810685 cites W2973355180 @default.
- W4385810685 cites W2974029770 @default.
- W4385810685 cites W2974120146 @default.
- W4385810685 cites W2978243219 @default.
- W4385810685 cites W2985702256 @default.
- W4385810685 cites W2985852121 @default.
- W4385810685 cites W2989631244 @default.
- W4385810685 cites W2992824173 @default.
- W4385810685 cites W2996432351 @default.
- W4385810685 cites W2999377002 @default.
- W4385810685 cites W2999399991 @default.
- W4385810685 cites W3013772992 @default.
- W4385810685 cites W3020518479 @default.
- W4385810685 cites W3033665207 @default.
- W4385810685 cites W3038545725 @default.
- W4385810685 cites W3043528599 @default.
- W4385810685 cites W3087359917 @default.
- W4385810685 cites W3095774067 @default.
- W4385810685 cites W3096124105 @default.
- W4385810685 cites W3111643319 @default.
- W4385810685 cites W3120516386 @default.
- W4385810685 cites W3140415661 @default.
- W4385810685 cites W3160710299 @default.
- W4385810685 cites W3165441872 @default.
- W4385810685 cites W3197514134 @default.
- W4385810685 cites W3198899262 @default.
- W4385810685 cites W3210400866 @default.
- W4385810685 cites W4205596829 @default.
- W4385810685 cites W4206264994 @default.
- W4385810685 doi "https://doi.org/10.17650/1726-9776-2023-19-2-148-152" @default.
- W4385810685 hasPublicationYear "2023" @default.
- W4385810685 type Work @default.
- W4385810685 citedByCount "0" @default.
- W4385810685 crossrefType "journal-article" @default.
- W4385810685 hasAuthorship W4385810685A5019096002 @default.
- W4385810685 hasAuthorship W4385810685A5037620917 @default.
- W4385810685 hasAuthorship W4385810685A5066519690 @default.
- W4385810685 hasAuthorship W4385810685A5092637028 @default.
- W4385810685 hasBestOaLocation W43858106851 @default.
- W4385810685 hasConcept C121608353 @default.
- W4385810685 hasConcept C126322002 @default.
- W4385810685 hasConcept C146357865 @default.
- W4385810685 hasConcept C151730666 @default.
- W4385810685 hasConcept C154945302 @default.
- W4385810685 hasConcept C17744445 @default.
- W4385810685 hasConcept C19527891 @default.
- W4385810685 hasConcept C199539241 @default.
- W4385810685 hasConcept C2778769751 @default.
- W4385810685 hasConcept C2779473830 @default.
- W4385810685 hasConcept C2780352672 @default.
- W4385810685 hasConcept C2985322473 @default.
- W4385810685 hasConcept C2992225637 @default.
- W4385810685 hasConcept C41008148 @default.
- W4385810685 hasConcept C71924100 @default.
- W4385810685 hasConcept C77411442 @default.
- W4385810685 hasConcept C86803240 @default.
- W4385810685 hasConceptScore W4385810685C121608353 @default.
- W4385810685 hasConceptScore W4385810685C126322002 @default.
- W4385810685 hasConceptScore W4385810685C146357865 @default.
- W4385810685 hasConceptScore W4385810685C151730666 @default.
- W4385810685 hasConceptScore W4385810685C154945302 @default.
- W4385810685 hasConceptScore W4385810685C17744445 @default.
- W4385810685 hasConceptScore W4385810685C19527891 @default.
- W4385810685 hasConceptScore W4385810685C199539241 @default.
- W4385810685 hasConceptScore W4385810685C2778769751 @default.
- W4385810685 hasConceptScore W4385810685C2779473830 @default.