Artificial Intelligence as a Catalyst for the Next Generation of Healthcare Innovation
DOI:
https://doi.org/10.70445/gjmdsa.1.2.2024.65-87Keywords:
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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Copyright (c) 2024 Muhammad Fahad, Mazhar farooq, Shah Zeb (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.