Construction And Optimization Of AI-Based Real-Time Clinical Decision Support System
DOI:
https://doi.org/10.71222/1amza066Keywords:
AI, clinical decision support system, real-time reasoning, data integration, model optimizationAbstract
With the rapid development of AI technology, its role in clinical decision support systems (CDSS) has become increasingly prominent. This paper focuses on the construction ideas of real-time clinical decision support systems, elaborates in detail the key elements of multi-source data fusion, high-precision prediction and real-time reasoning, and proposes improvement paths to accelerate system response, strengthen model iteration and optimize interaction structure, aiming to provide reliable, efficient and sustainable technical support for smart medical practice.
References
1. V. Shanmugarajeshwari, and M. Ilayaraja, "IoT-based multiclass decision support system of chronic kidney disease using optimal DNN," International Journal of Modeling, Simulation, and Scientific Computing, vol. 15, no. 04, p. 2441002, 2024. doi: 10.1142/s1793962324410022
2. T. Qiao, "Adaptive optimization of thermal energy and information management in intelligent green manufacturing process based on neural network," Thermal Science and Engineering Progress, vol. 55, p. 102953, 2024. doi: 10.1016/j.tsep.2024.102953
3. J. Moxam, H. Sanghvi, A. Danesh, S. Graves, S. Gupta, K. V. Chalam, and A. Pandya, "Evaluation of artificial intelligence based Clinical Decision Support System for detecting Nystagmus," Investigative Ophthalmology & Visual Science, vol. 65, no. 7, pp. 1149-1149, 2024.
4. A. C. Rathinakumari, B. B. Channabasamma, and G. S. Kumaran, "Physical and mechanical properties of garlic bulbs and cloves (Allium sativum L.) relevant to development of garlic bulb breaker," ) relevant to development of garlic bulb breaker, 2015.
5. T. Rambach, P. Gleim, S. Mandelartz, C. Heizmann, C. Kunze, and P. Kellmeyer, "Challenges and facilitation approaches for the participatory design of AI-based clinical decision support systems: protocol for a scoping review," JMIR Research Protocols, vol. 13, no. 1, p. e58185, 2024. doi: 10.2196/58185
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Danyating Shen (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.







