Volume 15, Issue 2

The Role of Artificial Intelligence in Modern Healthcare Systems

Author

Juin Dutta Ghosh, Mrs. Amee Shah Kularia, Mr. Sanjeev Kumar, Mr. Sandesh Bangera and Mrs. Kavyalatha Rao

Abstract

 Artificial intelligence (AI) has emerged as a transformative force in modern healthcare systems, revolutionizing diagnostic accuracy, treatment planning, patient monitoring, and operational efficiency. This paper examines the multifaceted applications of AI technologies across various healthcare domains, including medical imaging, clinical decision support systems, predictive analytics, and robotic-assisted surgery. Through systematic analysis of recent literature, this study demonstrates that AI-driven systems achieve diagnostic accuracies comparable to or exceeding human specialists across multiple medical specialties. The integration of machine learning algorithms, natural language processing, and deep learning techniques has enabled personalized medicine approaches and enhanced patient outcomes. However, significant challenges persist, including data privacy concerns, algorithmic bias, regulatory compliance, and implementation barriers. The global AI in healthcare market, valued at USD 29.01 billion in 2024, is projected to reach USD 504.17 billion by 2032, reflecting unprecedented growth and adoption (Fortune Business Insights, 2024). This paper synthesizes current evidence on AI applications in healthcare, evaluates associated challenges, and proposes frameworks for responsible AI integration to ensure equitable and effective healthcare delivery in the digital age.

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DOI

https://doi.org/10.62226/ijarst20262609

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