AI in Healthcare: Applications, Challenges, and Future Prospects

Authors

  • Mohsin khan Department of Computer science, University of Lahore Author

DOI:

https://doi.org/10.765656/va117t95

Keywords:

Artificial Intelligence, Machine Learning, AI, ML, deep learning, neural networks, algorithms, data analysis, predictive modeling

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in healthcare, offering a plethora of applications that promise to revolutionize the industry. This paper explores the diverse range of AI applications in healthcare, including diagnostic assistance, predictive analytics, personalized treatment, and administrative streamlining. However, alongside its immense potential, AI in healthcare faces significant challenges related to data privacy, ethics, regulatory hurdles, and the need for seamless integration into existing healthcare systems. Despite these challenges, the future prospects for AI in healthcare are promising, with the potential to enhance patient outcomes, reduce costs, and ultimately, improve the quality of care delivered.

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Published

2024-07-23

How to Cite

AI in Healthcare: Applications, Challenges, and Future Prospects. (2024). International Journal of Advanced Engineering Technologies and Innovations, 2(1), 99-117. https://doi.org/10.765656/va117t95

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