Artificial Intelligence Applications in Early Disease Detection and Clinical Decision Support: Advances, Challenges, and Future Directions

• Emily Johnson

  Department of Health Informatics, University of California, USA

  Author

Artificial intelligence (AI) has rapidly transformed healthcare by enhancing early disease detection, diagnosis, and clinical decision support systems. Machine learning and deep learning algorithms enable the analysis of complex biomedical data including medical imaging, electronic health records, and genomic datasets. This paper examines recent advances in AI-driven healthcare applications, focusing on early disease detection and clinical decision support. It explores the benefits, limitations, ethical considerations, and implementation challenges associated with AI integration in clinical practice. The study highlights current trends and future research directions to ensure responsible and effective adoption of AI technologies in healthcare systems globally.

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