DATA SCIENCE AND THE ROLE OF ARTIFICIAL INTELLIGENCE IN MEDICINE: ADVANCEMENTS, APPLICATIONS, AND CHALLENGES
Keywords:
Data science, Artificial Intelligence, medical imaging, predictive analytics, drug discoveryAbstract
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
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