Georgian Scientists/ . 7 N 1, 2025 205 Georgian Scientists Vol. 7 Issue 1, 2025 https://doi.org/10.52340/gs.2025.07.01.19 1, 2, 3 1 , , , , , , 0160, , . 77 E-mail: z.gurtskaia@gtu.ge 2 , , , , n.kenchadze19@gmail.com 3 , , , , 0160, 77 E-mail: mariambasilashvili@yahoo.com . , , , . . , COVID-19 . , , , , , . , FDA- . , . , , . : , Georgian Scientists/ . 7 N 1, 2025 206 . , , , . , , , , , . , , , , , . , , . , „ “ 1956 . . , , . 1970 . , . : , . , : AiCure ( ) - . , . . - Aiva Health ( ) , . Bot MD ( ) . , . . Apple Newsroom , , Google Apple, Georgian Scientists/ . 7 N 1, 2025 207 . , , , , . BlueDot , . BlueDot- COVID-19- , . , . , 100,000 , 65- , , , , . , . , , . , . . . . . , . , . , . . . , . , , . , . , , . . Georgian Scientists/ . 7 N 1, 2025 208 , , , , . , , . , . FDA- ( ) 950 . . FDA- 950 750 . : . 2024 7 , icometrix icobrain aria- . Icobrain aria (amyloid-related imaging abnormalities) , , ARIA- , ( ) . ARIA , . FDA- , ARIA- , . . . (FDA) , . BioMonitor 2- . . . . LifeVest- , , Georgian Scientists/ . 7 N 1, 2025 209 . . , LifeVest , , . . Micra- (TPS) , , . AV . Lifeflow Rapid Fluid Infuser: , , . CardioMEMS HF (PA) , . , . , CardioMEMS HF . , . , , AlphaFold. 3D , . AlphaFold . , , . , . , , , . , , . . Georgian Scientists/ . 7 N 1, 2025 210 . . , , , , , , . . 2023 ( . , ) , . . , , . . . , , . , . . , , . , , . 1. . – Works of GTU ISSN 1512- 0996 2 (528), 2023 2.Geéron A. Hands-On Machine Learning with Scikit-Learn & Tensor Flow. 1st ed. Sebastopol, CA, USA: O'Reilly; 2017. 3. First Tests | Mastering the Game | Computer History Museum. Www.computerhistory.org. https://www.computerhistory.org/chess/first-tests/ 4.Ridley DB. Priorities for the priority review voucher. Am J Trop Med Hyg. 2017;96:14–5. doi: 10.4269/ajtmh.16-0600. Georgian Scientists/ . 7 N 1, 2025 211 5. Laura Craft. Emerging Applications of Ai for Healthcare Providers GARTNER. 2017. [Last accessed on 2019 Jun 24]. Available from: https://wwwgartnercom/en/documents/3753763/emerging- applications-of-ai-for-healthcare-providers 6. Dilsizian S, Siegel E. Artificial intelligence in medicine and cardiac imaging: Harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Curr Cardiol Rep. 2014;16:2014. doi: 10.1007/s11886-013-0441-8. 7.Health, C. for D. and R. (2021). Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices. FDA. https://www.fda.gov/medical-devices/software-medical-device-samd/artificial- intelligence-and-machine-learning-aiml-enabled-medical-devices 8.Filippi M, Cecchetti G, Spinelli EG, Vezzulli P, Falini A, Agosta F. Amyloid-related imaging abnormalities and beta-amyloidtargeting antibodies: A systematic review. JAMA Neurol. 2022; 79:291- 304 9. Davoudi A, Malhotra KR, Shickel B, Siegel S, Williams S, Ruppert M, et al. Intelligent ICU for autonomous patient monitoring using pervasive sensing and deep learning. Sci Rep. 2019;9:8020. https://doi.org/10.1038/s41598-019-44004-w. 10. Ellsworth MA, Lang TR, Pickering BW, Herasevich V. Clinical data needs in the neonatal intensive care unit electronic medical record. BMC Med Inform Decis Mak. 2014;14:92. 11. Chioma, R., Sbordone, A., Patti, M. L., Perri, A., Vento, G., & Nobile, S. (2023). Applications of Artificial Intelligence in Neonatology. Applied Sciences, 13(5), 3211. https://doi.org/10.3390/app13053211 Artificial Intelligence and Medicine Zviad Gurtskaia, Natia Kenchadze, Marina Basilashvili Abstract Artificial intelligence (AI) is increasingly integrated into medical sciences, aiding in disease diagnosis, drug discovery, and improving patient care. Notably, AI has proven crucial during public health crises like the COVID-19 pandemic, enhancing disease prediction and management. Technologies such as machine learning and neural networks offer more accurate, personalized treatments in fields like radiology, cardiology, and oncology. The growing use of FDA-approved AI-powered medical devices highlights its rapid adoption. Looking ahead, AI promises to enhance healthcare quality, improve treatment accuracy, and support early disease diagnosis, ultimately contributing to better health outcomes and longevity.