Advanced Computational Healthcare Models Integrating Artificial and Human Intelligence for Real-Time Decision Support and Patient Management
Keywords:
Computational healthcare, Artificial Intelligence, human intelligence, real-time decision support, patient management, hybrid modelsAbstract
The integration of artificial intelligence (AI) and human intelligence (HI) in healthcare is revolutionizing real-time decision-making and patient management. Advanced computational models synergize AI's computational speed and HI's contextual understanding to enhance diagnostic accuracy, predictive analytics, and personalized care. This paper explores current advancements, theoretical frameworks, and practical applications of such hybrid models in healthcare. Challenges, including ethical considerations and data privacy, are also addressed, alongside future research directions.
References
Esteva, A., Kuprel, B., Novoa, R. A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118. https://doi.org/10.1038/nature21056
Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44–56. https://doi.org/10.1038/s41591-018-0300-7
Valaboju, P.K. (2024). Integrating Cloud Technologies for Enhanced Healthcare Systems: A Comprehensive Approach. International Journal of Computer Engineering and Technology, 15(5), 1093–1101. https://doi.org/10.5281/zenodo.14035251
Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine learning in medicine. New England Journal of Medicine, 380(14), 1347–1358. https://doi.org/10.1056/NEJMra1814259
Nivedhaa N. (2024). Building Explainable AI for Critical Data Science Applications. International Journal of Computer Science and Information Technology Research , 5(3), 20-29.
Johnson, K. W., Torres Soto, J., Glicksberg, B. S., et al. (2018). Artificial intelligence in cardiology. Journal of the American College of Cardiology, 71(23), 2668–2679.
Valaboju, P.K. (2024). The Synergistic Impact of Human-AI Collaboration: A Multi-Domain Analysis. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 10(5), 934–942. https://doi.org/10.32628/cseit241051083
Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future — Big data, machine learning, and clinical medicine. New England Journal of Medicine, 375(13), 1216–1219.
Yu, K. H., Beam, A. L., & Kohane, I. S. (2018). Artificial intelligence in healthcare. Nature Biomedical Engineering, 2(10), 719–731.
Valaboju, P.K. (2024). Integration of AI and Cloud Technologies in Healthcare: A Comprehensive Framework for Career Development and Portfolio Enhancement. International Journal of Research in Computer Applications and Information Technology, 7(2), 674–687. https://doi.org/10.5281/zenodo.14034269
Kaul, V., Enslin, S., & Gross, S. A. (2020). History of artificial intelligence in medicine. Gastrointestinal Endoscopy, 92(4), 807–812.
Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94–98.
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