97 -9 (71) 2024 - Akhmadbekova I.A., Ten D.O. - ARTIFICIAL INTELLIGENCE IN MEDICINE: GENERAL OVERVIEW, ADVANTAGES AND LIMITATIONS
ARTIFICIAL INTELLIGENCE IN MEDICINE: GENERAL OVERVIEW, ADVANTAGES AND LIMITATIONS
Akhmadbekova I.A. - Andijan State Medical Institute
Ten D.O. - Andijan State Medical Institute
Resume
Artificial intelligence (AI) is a subfield of computer science concerned with the creation of algorithms that attempt to replicate human intelligence. The present article discusses an overview of the fundamental AI principles that are critical to understanding AI and its application in health care. It also provides a descriptive overview of the current state of artificial intelligence (AI) in many domains of medicine. Moreover, some advantages were examined along with potential limitations and challenges associated with the development and implementation of this new technology were discussed.
Keywords: artificial intelligence, automated transportation, healthcare industry, surgery robots, medical technology.
First page
541
Last page
544
For citation:Akhmadbekova I.A., Ten D.O. - ARTIFICIAL INTELLIGENCE IN MEDICINE: GENERAL OVERVIEW, ADVANTAGES AND LIMITATIONS//New Day in Medicine 9(71)2024 541-544 https://newdayworldmedicine.com/en/new_day_medicine/9-71-2024
List of References
- G. Briganti, O. Le Moine, “Artificial Intelligence in Medicine: Today and Tomorrow. Frontiers in Medicine”, 2020 https://doi.org/10.3389/fmed.2020.00027
- I. Ahmadbekova, D. Ahmadbekova, “Artificial Intelligence in Medicine: Benefits and Drwbacks”, //British View, 6(1), 2021
- SR. Steinhubl, ED. Muse, EJ. Topol. “The emerging field of mobile health”. //Sci Trans Med. (2015) 7:283RV3. doi: 10.1126/scitranslmed.a3487
- Y. Peng, Y. Zhang, L. Wang, “Artificial intelligence in biomedical engineering and informatics: an introduction and review”. //Artif Intell Med., 2010;48:71-3. doi: 10.1016/j.artmed.2009.07.007
- Yoav Mintz Ronit Brodie, “Introduction to artificial intelligence in medicine, Minimally Invasive Therapy Allied Technologies”, 2019;28(2):73-81, DOI: 10.1080/13645706.2019.1575882
- https://www.accenture.com
file
download