EXPLORING THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING HEALTHCARE DECISION-MAKING: CHALLENGES AND OPPORTUNITIES

Authors

  • Dr. Ayesha Noor Department of Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan. Author

Keywords:

Artificial Intelligence, Healthcare, Decision-Making, Clinical Decision Support, Diagnostic Tools, Predictive Analytics, Algorithmic Bias, Data Privacy, Healthcare Infrastructure

Abstract

Artificial Intelligence (AI) is emerging as a powerful tool in healthcare, promising to revolutionize decision-making processes by improving diagnostic accuracy, treatment strategies, and patient outcomes. This article explores the role of AI in healthcare decision-making, focusing on its applications in clinical decision support, diagnostic tools, and predictive analytics. It delves into the challenges that hinder AI adoption in healthcare, including data privacy concerns, algorithmic bias, and integration with existing healthcare infrastructure. Additionally, the paper identifies opportunities for AI to enhance personalized treatment, streamline workflows, and optimize resource allocation. Finally, the article highlights the future of AI in healthcare, emphasizing the importance of collaboration between AI technologies and healthcare professionals for a more efficient and ethical healthcare system.

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Published

2025-04-03

Issue

Vol. 5 No. 2 (2025): Multidisciplinary Research in Computing Information Systems

Section

Articles

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