Artificial Intelligence as a Catalyst for the Next Generation of Healthcare Innovation

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/gjmdsa.1.2.2024.65-87

Keywords:

Machine learning, Healthcare innovation, artificial intelligence, predictive analytics, deep learning, ethical issues, digital health.

Abstract

The application of Artificial Intelligence (AI) in healthcare is changing the industry, making it more precise, efficient, and personalized in the care of patients. This review examines the history, underlying technologies, and various uses of AI in diagnostics, treatment plan, and healthcare management. It emphasizes the significant advantages, which are better diagnostic accuracy, predictive medicine, and the efficiency of its operation, and problems in ethics, law, and social issues, which include data privacy, biases, and responsibility. The paper is also focused on the existing constraints and opportunities with a particular emphasis on the transition to explainable, equitable, and human-centered AI systems. AI is an effective innovation driver that can influence a smarter, more equitable and compassionate future of healthcare.

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Published

2024-12-12

Issue

Section

Articles

How to Cite

Artificial Intelligence as a Catalyst for the Next Generation of Healthcare Innovation. (2024). Global Journal of Multidisciplinary Sciences and Arts , 1(2), 65-87. https://doi.org/10.70445/gjmdsa.1.2.2024.65-87