Leveraging Artificial Intelligence and Big Data Analytics for Personalized Medicine: Innovations and Challenges in Healthcare It
Year: 2024
Type: article
Abstract: The integration of artificial intelligence (AI) and big data analytics in healthcare has revolutionized the field of personalized medicine, offering innovative solutions for more accurate diagnosis, treatment, and patient care. Personalized medicine, which tailors treatment plans to an individual’s genetic makeup, lifestyle, and environment, is gaining traction due to advancements in AI algorithms and big data analytics. This article explores the innovations brought by AI and big data in personalized medicine, focusing on their role in improving healthcare outcomes and addressing the challenges in implementation. Moreover, it highlights the challenges, such as data privacy concerns, computational complexities, and ethical dilemmas, while proposing potential solutions for overcoming these barriers. Finally, the article discusses the future prospects of AI and big data analytics in personalized healthcare and the regulatory frameworks needed to support their expansion.
Author: Fazliddin Arzikulov Ibodilla Izzatillayev Rahmatilla Amirqulov
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6930517106
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