Application of Cloud-Driven Intelligent Medical Imaging Analysis in Disease Detection
DOI:
https://doi.org/10.53469/jtpes.2024.04(05).09Keywords:
Cloud Computing, Artificial Intelligence, Medical Imaging, Disease DetectionAbstract
The integration of cloud computing and artificial intelligence (AI) in medical imaging has revolutionized disease detection and diagnosis. This paper explores the application of cloud-driven intelligent medical imaging analysis, highlighting its ability to manage and utilize massive datasets efficiently. By leveraging the vast storage capacities, high computing power, and robust data security of cloud computing, coupled with the precision and speed of AI algorithms, medical imaging processes are significantly enhanced. The development of intelligent systems enables real-time data access, remote consultations, and mobile solutions, which improve the accessibility and availability of medical resources. This synergy not only alleviates the workload on radiologists but also supports better patient outcomes through advanced diagnostic capabilities and seamless collaboration across medical institutions. The ongoing advancements in these technologies promise to drive further innovation and enhance the quality of healthcare services.
References
Wang, Y., Zhu, M., Yuan, J., Wang, G., & Zhou, H. (2024). The intelligent prediction and assessment of financial information risk in the cloud computing model. arXiv preprint arXiv:2404.09322.
Fan, Chao, et al. "Integrating Artificial Intelligence with SLAM Technology for Robotic Navigation and Localization in Unknown Environments."
Wang, X., Tian, J., Qi, Y., Li, H., & Feng, Y. (2024). Short-Term Passenger Flow Prediction for Urban Rail Transit Based on Machine Learning. Journal of Computer Technology and Applied Mathematics, 1(1), 63-69.
Zhou, Hong, et al. "Application of Conversational Intelligent Reporting System Based on Artificial Intelligence and Large Language Models." Journal of Theory and Practice of Engineering Science 4.03 (2024): 176-182.
Xu, Kangming, et al. "Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning." arXiv preprint arXiv:2403.19345(2024).
Shen, Xinyu, et al. "Biology-based AI Predicts T-cell Receptor Antigen Binding Specificity." Academic Journal of Science and Technology 10.1 (2024): 23-27.
Zheng, Haotian, et al. "Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis." Academic Journal of Science and Technology 10.1 (2024): 62-68. （10个）
Li, Lianwei, et al. "Independent Grouped Information Expert Model: A Personalized Recommendation Algorithm Based on Deep Learning." (2024).
Ding, W., Zhou, H., Tan, H., Li, Z., & Fan, C. (2024). Automated Compatibility Testing Method for Distributed Software Systems in Cloud Computing.
Qian, Kun, et al. "Implementation of Artificial Intelligence in Investment Decision-making in the Chinese A-share Market." Journal of Economic Theory and Business Management 1.2 (2024): 36-42.
Ding, W., Tan, H., Zhou, H., Li, Z., & Fan, C. Immediate Traffic Flow Monitoring and Management Based on Multimodal Data in Cloud Computing.
Feng, Y., Li, H., Wang, X., Tian, J., & Qi, Y. (2024). Application of Machine Learning Decision Tree Algorithm Based on Big Data in Intelligent Procurement.
Ni, C., Zhang, C., Lu, W., Wang, H., & Wu, J. (2024). Enabling Intelligent Decision Making and Optimization in Enterprises through Data Pipelines.
Bao, Q., Wei, K., Xu, J., & Jiang, W. (2024). Application of Deep Learning in Financial Credit Card Fraud Detection. Journal of Economic Theory and Business Management, 1(2), 51-57.
Fan, Chao, et al. "Integrating Artificial Intelligence with SLAM Technology for Robotic Navigation and Localization in Unknown Environments."
Bai, X., Jiang, W., & Xu, J. (2024). Development Trends in AI-Based Financial Risk Monitoring Technologies. Journal of Economic Theory and Business Management, 1(2), 58-63.
Tian, J., Qi, Y., Li, H., Feng, Y., & Wang, X. (2024). Deep Learning Algorithms Based on Computer Vision Technology and Large-Scale Image Data. Journal of Computer Technology and Applied Mathematics, 1(1), 109-115.
Xu, X., Niu, H., Ji, H., Li, H., & Wang, J. (2024). AI Empowered of Advancements in Microbial and Tumor Cell Image Labeling for Enhanced Medical Insights. Journal of Theory and Practice of Engineering Science, 4(03), 21-27.
Wang, Y., Zhan, X., Zhan, T., Xu, J., & Bai, X. (2024). Machine Learning-Based Facial Recognition for Financial Fraud Prevention. Journal of Computer Technology and Applied Mathematics, 1(1), 77-84.
Qi, Y., Feng, Y., Tian, J., Wang, X., & Li, H. (2024). Application of AI-based Data Analysis and Processing Technology in Process Industry. Journal of Computer Technology and Applied Mathematics, 1(1), 54-62.
Yang, P., Shui, Z., Chen, Z., Baoming, W., & Lei, H. (2024). Integrated Management of Potential Financial Risks Based on Data Warehouse. Journal of Economic Theory and Business Management, 1(2), 64-70.
Wang, J. (2024). Fraud Detection in Digital Payment Technologies Using Machine Learning. Journal of Economic Theory and Business Management, 1(2), 1-6.
Xu, J., Zhu, B., Jiang, W., Cheng, Q., & Zheng, H. (2024, April). AI-BASED RISK PREDICTION AND MONITORING IN FINANCIAL FUTURES AND SECURITIES MARKETS. In The 13th International scientific and practical conference “Information and innovative technologies in the development of society”(April 02–05, 2024) Athens, Greece. International Science Group. 2024. 321 p. (p. 222). （10个）
Song, J., Cheng, Q., Bai, X., Jiang, W., & Su, G. (2024). LSTM-Based Deep Learning Model for Financial Market Stock Price Prediction. Journal of Economic Theory and Business Management, 1(2), 43-50.
Cai, G., Qian, J., Song, T., Zhang, Q., & Liu, B. (2023). A deep learning-based algorithm for crop Disease identification positioning using computer vision. International Journal of Computer Science and Information Technology, 1(1), 85-92.
Cai, G., Zhang, Q., Liu, B., Jin, Z., & Qian, J. (2024). Deep Learning-Based Recognition and Visualization of Human Motion Behavior. Academic Journal of Science and Technology, 10(1), 50-55.
Lei, H., Chen, Z., Yang, P., Shui, Z., & Wang, B. (2024). Real-time Anomaly Target Detection and Recognition in Intelligent Surveillance Systems based on SLAM.
Wang, Junliang. "Fraud Detection in Digital Payment Technologies Using Machine Learning." Journal of Economic Theory and Business Management 1.2 (2024): 1-6.
Xu, Z., Yuan, J., Yu, L., Wang, G., & Zhu, M. (2024). Machine Learning-Based Traffic Flow Prediction and Intelligent Traffic Management. International Journal of Computer Science and Information Technology, 2(1), 18-27.
Li, H., Wang, X., Feng, Y., Qi, Y., & Tian, J. (2024). Integration Methods and Advantages of Machine Learning with Cloud Data Warehouses. International Journal of Computer Science and Information Technology, 2(1), 348-358. https://doi.org/10.62051/ijcsit.v2n1.36
Wu, B., Shi, C., Jiang, W., & Qian, K. (2024). Enterprise Digital Intelligent Remote Control System Based on Industrial Internet of Things. （15个）
Li, L., Xu, K., Zhou, H., & Wang, Y. (2024). Independent Grouped Information Expert Model: A Personalized Recommendation Algorithm Based on Deep Learning.（10个）
Yang, Peiyuan, et al. "THE PREDICTION AND OPTIMIZATION OF RISK IN FINANCIAL SERVICES BASED ON AI-DRIVEN TECHNOLOGY." The 12th International scientific and practical conference “Modern thoughts on the development of science: ideas, technologies and theories”(March 26–29, 2024) Amsterdam, Netherlands. International Science Group. 2024. 336 p.. 2024. （5个）
Su, G., Wang, J., Xu, X., Wang, Y., & Wang, C. (2024). The Utilization of Homomorphic Encryption Technology Grounded on Artificial Intelligence for Privacy Preservation. International Journal of Computer Science and Information Technology, 2(1), 52-58.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Zhou Chen, Yan Lou, Baoming Wang, Han Lei, Peiyuan Yang
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
