LEVERAGING ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYTICS FOR PERSONALIZED MEDICINE: INNOVATIONS AND CHALLENGES IN HEALTHCARE IT

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-27
DOI
https://doi.org/10.5281/zenodo.13845721
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

LEVERAGING ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYTICS FOR PERSONALIZED MEDICINE: INNOVATIONS AND CHALLENGES IN HEALTHCARE IT

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

LEVERAGING ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYTICS FOR PERSONALIZED MEDICINE: INNOVATIONS AND CHALLENGES IN HEALTHCARE IT

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 75%
Artificial Intelligence in Healthcare and Education
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