ROLE OF ARTIFICIAL INTELLIGENCE IN LABORATORY DIAGNOSTICS
Keywords:
Artificial Intelligence, Machine Learning, Deep Learning, Laboratory Automation, Diagnostic Accuracy, Predictive Analytics, AI Ethics.Abstract
Artificial intelligence (AI) is revolutionizing laboratory diagnostics by enhancing accuracy, speed, and efficiency. Machine learning (ML) and deep learning (DL) models analyze complex datasets, automate diagnostic workflows, and reduce human error. This paper examines AI's role in laboratory diagnostics, its applications, and challenges in implementation. Additionally, it explores how AI-driven innovations such as computer vision, natural language processing, and predictive analytics are transforming clinical decision-making and laboratory automation. The study also discusses regulatory considerations and ethical concerns related to AI adoption in laboratory medicine.
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References
• Esteva, A., Robicquet, A., Ramsundar, B., et al. (2021). "A Guide to Deep Learning in Healthcare." Nature Medicine, 27(1), 29-38.
• Litjens, G., Kooi, T., Bejnordi, B. E., et al. (2019). "A Survey on Deep Learning in Medical Imaging." Medical Image Analysis, 42, 60-88.
• Yu, K. H., & Kohane, I. S. (2019). "Artificial Intelligence in Healthcare and Biomedical Research." Nature Biomedical Engineering, 3(8), 711-726.
• Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
• World Health Organization. (2021). AI in Healthcare: Ethical and Regulatory Considerations. Geneva: WHO Press.
• Rajkomar, A., Dean, J., & Kohane, I. (2019). "Machine Learning in Medicine." New England Journal of Medicine, 380(14), 1347-1358.
• Kaul, V., Enslin, S., & Gross, S. A. (2020). "History and Current Trends in Artificial Intelligence in Pathology." Laboratory Investigation, 100(1), 4-15.
