Artificial Intelligence and Machine Learning Approaches for Healthcare

Environmental contamination and the preservation and reuse of natural resources are critical ecological and societal concerns. Reduction and alleviation strategies remain important for pollution management. Artificial intelligence (AI) emerges as a promising solution to address these challenges. This paper reviews advancements in AI technologies for environmental pollution control, offering a comprehensive overview of the benefits, features, and limitations of individual and combined AI techniques. Recent progress in AI-driven pollution reduction and mitigation technologies is explored. Research on AI's role in managing these processes is scrutinized. Notably, expert systems, fuzzy logic, and neural networks emerge as leading methods for process control. In the face of pressing environmental issues, the integration of AI holds immense potential. Its ability to analyze complex data, optimize resource use, and predict pollution trends contributes to more sustainable practices. By leveraging AI-driven technologies, society can actively combat environmental degradation while efficiently managing valuable natural resources. These advancements underscore the significance of AI in shaping a more environmentally conscious and sustainable future.