The Impact of AI on Clinical Trials and Healthcare Research

Authors

  • Gopalakrishnan Mahadevan

Keywords:

Artificial Intelligence, Clinical Trials, Healthcare Research, Big Data, Patient Recruitment, Data Privacy, Algorithmic Bias, Molecular Modeling

Abstract

Artificial intelligence (AI) has revolutionized clinical trials and healthcare research by transforming drug discovery, patient monitoring, and trial management processes. AI technologies enable healthcare practitioners and researchers to analyze vast datasets, extract meaningful insights, and make evidence-based decisions with unprecedented accuracy. The integration of AI in clinical trials has significantly enhanced trial efficiency by reducing human errors and accelerating various phases of research. AI's applications extend beyond drug development to include efficient patient recruitment, real-time monitoring through wearable devices, early complication detection, and personalized treatment approaches. However, the implementation of AI in healthcare research faces challenges including data privacy concerns, algorithmic bias, and ethical considerations regarding decision-making autonomy. Despite these challenges, AI continues to evolve, offering promising solutions for more efficient, accurate, and accessible healthcare systems.

DOI: https://doi.org/10.17762/ijisae.v12i23s.7849

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Published

30.08.2024

How to Cite

Gopalakrishnan Mahadevan. (2024). The Impact of AI on Clinical Trials and Healthcare Research. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 3725 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7849

Issue

Vol. 12 No. 23s (2024)

Section

Research Article

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