| Autor: |
Suprun Elena, Tynchenko Vadim, Khramkov Vladimir, Kovalev Georgy, Soloveva Tatiana |
| Jazyk: |
English<br />French |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BIO Web of Conferences, Vol 84, p 01008 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2117-4458 |
| DOI: |
10.1051/bioconf/20248401008 |
| Popis: |
This article explores the use of artificial intelligence in the medical field for diagnosing a disease, namely the identification of factors that affect the presence of a brain tumor. Modern medical technologies are developing rapidly, and artificial intelligence is becoming an increasingly important tool to help doctors in accurate and timely diagnosis of various diseases. The article focuses on the application of learning methods such as decision trees, Kohonen maps and neural networks. The development and application of artificial intelligence in medicine provides a huge potential for improving the diagnosis of diseases and increasing the effectiveness of treatment, which contributes to improving the quality of life of patients. However, do not consider the need for ongoing scientific support, testing and regulation to ensure the safety and reliability of the application of artificial intelligence in medicine. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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