DATA SCIENCE AND THE ROLE OF ARTIFICIAL INTELLIGENCE IN MEDICINE: ADVANCEMENTS, APPLICATIONS, AND CHALLENGES

Authors

  • Mirzakhmedov Hasanbek Student of Tashkent Medical Academy, Abdurakhmanov Shakhriyor

Keywords:

Data science, Artificial Intelligence, medical imaging, predictive analytics, drug discovery

Abstract

Data science and artificial intelligence (AI) have revolutionized various domains, including healthcare. In medicine, the integration of data science techniques and AI technologies has led to significant advancements in diagnosis, treatment, personalized medicine, and healthcare management. This article provides an overview of the current landscape of data science in medicine, highlighting the role of AI in improving healthcare outcomes. We discuss various applications of AI in medicine, including medical imaging, predictive analytics, drug discovery, and patient monitoring. Additionally, we explore the challenges and ethical considerations associated with the use of AI in healthcare, along with future directions and opportunities for further research and development.

Downloads

Published

2024-04-13

How to Cite

Hasanbek, M. . (2024). DATA SCIENCE AND THE ROLE OF ARTIFICIAL INTELLIGENCE IN MEDICINE: ADVANCEMENTS, APPLICATIONS, AND CHALLENGES. EUROPEAN JOURNAL OF MODERN MEDICINE AND PRACTICE, 4(4), 90–93. Retrieved from http://inovatus.es/index.php/ejmmp/article/view/2910

Similar Articles

<< < 14 15 16 17 18 19 20 21 22 23 > >> 

You may also start an advanced similarity search for this article.