Artificial Intelligence–Driven Early Disease Prediction and Clinical Decision Support Systems in Modern Healthcare
Keywords:
Artificial Intelligence, Disease Prediction, Clinical Decision Support Systems, Machine Learning, Healthcare Analytics, Medical InformaticsAbstract
Artificial Intelligence (AI) has emerged as a transformative technology in modern healthcare by enabling early disease prediction and supporting clinical decision-making processes. AI-driven models analyze large volumes of medical data, including electronic health records, medical images, laboratory reports, and patient histories, to identify disease patterns at an early stage. Clinical Decision Support Systems (CDSS) further assist healthcare professionals by providing accurate diagnoses, treatment recommendations, and risk assessments. This study explores the integration of AI techniques in disease prediction and clinical decision support, highlighting their benefits, challenges, and future prospects. The proposed framework aims to improve diagnostic accuracy, reduce healthcare costs, and enhance patient outcomes.
References
1. World Health Organization. (2024). Global strategy on digital health 2020–2025. World Health Organization.
2. Acosta, J. N., Falcone, G. J., Rajpurkar, P., & Topol, E. J. (2024). Multimodal biomedical AI. Nature Medicine, 30(7), 1773–1784.
3. Ahmed, Z., Mohamed, K., Zeeshan, S., & Dong, X. (2023). Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database, 2023, baad021.
4. Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, C., Corrado, G., Thrun, S., & Dean, J. (2023). A guide to deep learning in healthcare. Nature Medicine, 29(1), 17–29.
5. Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2023). Artificial intelligence in healthcare: Past, present, and future. Stroke and Vascular Neurology, 8(1), 1–12.
6. Kelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G., & King, D. (2024). Key challenges for delivering clinical impact with artificial intelligence. BMC Medicine, 22(1), 45–56.
7. Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T. (2023). Deep learning for healthcare: Review, opportunities, and challenges. Briefings in Bioinformatics, 24(2), bbad042.
8. Rajkomar, A., Dean, J., & Kohane, I. (2024). Machine learning in medicine. New England Journal of Medicine, 390(4), 312–324.
9. Gajula, S. (2025). Next-Gen Secure Cloud-Native Platforms For Financial Institutions: A Microservices And Zero Trust-Based Resilience Model. Journal of International Crisis & Risk Communication Research (JICRCR), 8.
10. Reddy, S., Allan, S., Coghlan, S., & Cooper, P. (2023). A governance model for the application of AI in healthcare. Journal of the American Medical Informatics Association, 30(5), 845–853.
11. Shilo, S., & Rossman, H. (2024). AI technologies for early disease detection and prediction in healthcare. The Lancet Digital Health, 6(3), e156–e168.
12. Topol, E. J. (2024). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 30(2), 214–220.
13. Verghese, A., Shah, N. H., & Harrington, R. A. (2024). What this computer needs is a physician: Humanism and artificial intelligence. JAMA, 331(2), 115–116.
14. Wang, L., Wang, Y., & Ye, D. (2023). Review of the application of artificial intelligence in medical decision support systems. Healthcare, 11(8), 1187.
15. Yu, K. H., Beam, A. L., & Kohane, I. S. (2024). Artificial intelligence in healthcare. Nature Biomedical Engineering, 8(1), 25–37.
16. Gajula, S. (2023). A Review of Anomaly Identification in Finance Frauds using Machine Learning System. International Journal of Current Engineering and Technology, 13(06).
17. Kollu, B. R., Boddireddy, S., & Kadam, S. (2024). AI-Driven Healthcare Interoperability Cloud-Based Intelligent Healthcare. Essay Publication Research and Consultancy.
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