Conţinutul numărului revistei |
Articolul precedent |
Articolul urmator |
289 7 |
Ultima descărcare din IBN: 2024-03-04 16:06 |
Căutarea după subiecte similare conform CZU |
004.89:61 (10) |
Inteligență artificială (310) |
Științe medicale. Medicină (11203) |
SM ISO690:2012 DONICI, Natalia. Artificial intelligence in medicine. In: Revista de Ştiinţe ale Sănătăţii din Moldova, 2022, nr. 3 An.1(29), p. 61. ISSN 2345-1467. |
EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
Revista de Ştiinţe ale Sănătăţii din Moldova | ||||||
Numărul 3 An.1(29) / 2022 / ISSN 2345-1467 | ||||||
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CZU: 004.89:61 | ||||||
Pag. 61-61 | ||||||
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Rezumat | ||||||
Background. Artificial intelligence (AI) includes any application system for simulating and extending human intelligence. In the field of medicine, AI is already trying to improve the efficiency of diagnosis and treatment in various specializations. Objective of the study. This research aims to better understand this technology and how it transforms medicine, what is the role of artificial intelligence-based systems in performing different medical activity in specializations, and what the results are nowadays. Material and Methods. This work was performed by consulting various resources, articles, and databases, the main ones being PubMed.gov and Cyberleninka.ru and other sources in order to research and analyze certain features of using the artificial intelligence in medicine. Results. Mainly, artificial intelligence neural systems show impressive efficiency in most medical subdivisions. The first example would be the effectiveness of detecting the depth of anesthesia which was 88.4%, while the accuracy of the most modern BIS index was 84.2%. Better results are in terms of rapid diagnosis of myocardial infarction with the help of electrocardiogram, the results vary between 87% and 95%. In addition, an AI network has detected 184 prognostic-related genes for breast cancer. Conclusions. At present, systems based on artificial intelligence are not so developed but it already improves the accuracy and efficiency of diagnosis and treatment, with enormous potential. |
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Cuvinte-cheie Artificial Intelligence, computers, diagnostic, machine learning, Deep learning, inteligenţă artificială, calculatoare, diagnostic, învăţare automată, învățare profundă |
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