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METHODS AND MODELS OF INFORMATION PROCESSING USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR TIMELY HELP FOR NEWBORNS

Zolotukhin Svyatoslav Alexandrovich  (RTU MIREA – Russian Technological University)

Bolbakov Roman Gennadievich  (Candidate of Technical Sciences, Associate Professor, RTU MIREA – Russian Technological University )

The importance of the early stage of newborn life and the need for qualified medical care, especially for premature infants, are being investigated. The authors analyze various aspects of the use of AI in medicine, including diagnosis, predicting complications and making optimal decisions. The article discusses information processing methods such as image analysis, the use of neural networks and expert systems. The study provides a comprehensive overview of modern AI approaches and technologies that can be used to improve medical care for newborns, increasing their chances of healthy development.

Keywords:artificial intelligence, medical data processing, complications prediction, expert systems, information processing models, data processing methods.

 

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Citation link:
Zolotukhin S. A., Bolbakov R. G. METHODS AND MODELS OF INFORMATION PROCESSING USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR TIMELY HELP FOR NEWBORNS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№09. -С. 52-60 DOI 10.37882/2223-2966.2024.9.13
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