AI and the Future of Healthcare: A Comprehensive Review of Innovations and Implications

Authors

  • Muhammad Fahad Washington University of Science and Technology, Alexandria Virginia Author
  • Mazhar Farooq Southern New Hampshire University Author
  • Shah Zeb Washington University of Science and Technology, Alexandria Virginia Author

DOI:

https://doi.org/10.70445/gtst.1.4.2025.81-100

Keywords:

Artificial Intelligence, Healthcare, Machine Learning, Diagnostics, Predictive Analytics, Precision Medicine, Ethical Challenges.

Abstract

There is a revolution in healthcare with Artificial Intelligence (AI) using data analysis and automation to improve diagnostics, treatment, and patient management. This review examines the background behind AI, its major uses, advantages and ethical, legal, and social consideration of the adoption of AI in healthcare systems. Medical imaging and predictive analytics, as well as personalized medicine and administrative optimization, are just some of the many ways that AI can enhance efficiency, accuracy and patient outcomes. Nevertheless, there are still issues of data quality, bias, privacy, and the barriers to implementation. The article highlights that there should be ethical governance, cooperation at a global level, and alignment of humans and AI to make sure that AI-led healthcare is safe, fair and aligned to patient well-being enhancement.

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Published

2025-10-18