Leveraging Artificial Intelligence for Early Disease Detection A Comprehensive Exploration of Current Applications, Emerging Technologies, and Future Prospects in Transforming Healthcare and Preventing Disease Outbreaks

Abstract

The field of health care diagnostics along with disease detection at early stages has enabled artificial intelligence (AI) to evolve as a progressive technological innovation. Large medical datasets containing images and patient information and real-time tracking enable AI systems to detect diseases early so they can learn effective methods for promoting health benefits. This paper examines AI technology applications for disease detection in the present while presenting performance assessments along with limitations. The paper explores potential future AI technology applications which focus on improving diagnosis accuracy along with tailored treatments and cost-effective organizational solutions for worldwide healthcare. The implementation of AI technology presents three main challenges including privacy issues related to data protection and how biases affect programming algorithms and diminished healthcare efficiency. The development of disease diagnosis with AI depends on machine learning and deep learning technologies that require specific guidelines for creating safe and effective diagnostic AI services in healthcare systems.