Artificial Intelligence in Medicine: from Diagnosis to Treatment

Liudmyla Bashkirova, Iryna Kit, Yury Havryshchuk, A. Krasnova, Svitlana Vasylyuk-Zaitseva
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Abstract

In recent years, medicine has faced the serious challenge of the covid pandemic, due to which representatives of the health care sector had to mobilize forces and resources to jointly overcome these problems. The rapid development of artificial intelligence, its learning capabilities, and in recent years the creation of a neural network opens up wide possibilities for the use of AI in medicine. Aims: To analyze the modern literature on the use of AI for diagnosis and treatment and to analyze what problems may arise with the uncontrolled introduction of artificial intelligence Methodology: When conducting a literature review, an analysis and generalization of data on the research topic from 2019 to 2024 was carried out. The literature search was carried out by keywords using the PubMed search engine. Results: The literature review demonstrated the use of artificial intelligence in medicine, which has grown significantly in recent years and continues its rapid development, which is associated with the improvement of innovative technologies. The use of artificial intelligence in diagnostics is associated with the use of a neural network, which makes it possible to identify digitized images for rapid diagnosis. The use of artificial intelligence in surgery is reflected in the application of da Vinci. Artificial intelligence has been widely used in anesthesiology. Scientific Novelty: The literature search established that the implementation of artificial intelligence in medicine creates certain challenges related to the protection of personal data, and the possibility of error is not excluded when using AI. Conclusion: The use of AI is promising for diagnosis and treatment and helps doctors quickly make a diagnosis and prescribe treatment, but certain challenges created by artificial intelligence must be solved by implementing more reliable personal data protection systems, as well as control over the information reproduced by artificial intelligence.
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人工智能在医学中的应用:从诊断到治疗
近年来,医学界面临着艾滋病毒大流行的严峻挑战,为此,卫生保健部门的代表们不得不调动各种力量和资源,共同克服这些问题。人工智能的快速发展、其学习能力以及近年来神经网络的建立,为人工智能在医学中的应用提供了广阔的可能性。目的:分析有关将人工智能用于诊断和治疗的现代文献,并分析无节制地引入人工智能可能会出现哪些问题:在进行文献综述时,对研究课题从2019年到2024年的数据进行了分析和归纳。使用PubMed搜索引擎按关键词进行文献检索。结果:文献综述表明,人工智能在医学中的应用近年来显著增长,并继续快速发展,这与创新技术的改进有关。人工智能在诊断学中的应用与神经网络的使用有关,神经网络可以识别数字化图像,从而实现快速诊断。人工智能在外科手术中的应用体现在达芬奇的应用上。人工智能已广泛应用于麻醉学。科学新颖性:通过文献检索发现,人工智能在医学中的应用会给个人数据的保护带来一定的挑战,而且在使用人工智能时不排除出错的可能性。结论:人工智能在诊断和治疗方面的应用前景广阔,可帮助医生快速做出诊断并开出治疗处方,但人工智能带来的某些挑战必须通过实施更可靠的个人数据保护系统以及控制人工智能再现的信息来解决。
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