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Artificial Intelligence in Chronic Pelvic Inflammatory Disease Management: A Comprehensive Review of Integrated Diagnostic Frameworks and Adaptive Therapeutic Systems
Review Article | Published: 17 August 2025
ICCK Transactions on Intelligent Systematics Volume 2, Issue 3, 2025: 169-189
Volume 2, Issue 3, ICCK Transactions on Intelligent Systematics
Volume 2, Issue 3, 2025
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Academic Editor
Thinagaran Perumal
Thinagaran Perumal
Universiti Putra Malaysia, Malaysia
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ICCK Transactions on Intelligent Systematics, Volume 2, Issue 3, 2025: 169-189

Free to Read | Review Article | 17 August 2025
Artificial Intelligence in Chronic Pelvic Inflammatory Disease Management: A Comprehensive Review of Integrated Diagnostic Frameworks and Adaptive Therapeutic Systems
by
Jiayi Yang Jiayi Yang 1
Qian Hong Qian Hong 2 *
1 School of Engineering, Hong Kong University of Science and Technology, Hong Kong 999077, China
2 Department of Obstetrics and Gynecology, Jiangxi Fifth People's Hospital, Nanchang 330046, China
* Corresponding Author: Qian Hong, [email protected]
DOI: 10.62762/TIS.2025.511235
Received: 27 May 2025, Accepted: 27 June 2025, Published: 17 August 2025  
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Abstract
Chronic Pelvic Inflammatory Disease (CPID) poses significant challenges to women's health, necessitating advanced management strategies. This paper provides a comprehensive review of artificial intelligence (AI)-based health management techniques for PID, focusing on their potential to enhance diagnosis, treatment personalization, and long-term monitoring. By synthesizing Bayesian probabilistic frameworks with ensemble Machine Learning architectures, we systematically evaluate AI-driven solutions for PID pathophysiology analysis, therapeutic efficacy prediction, and patient-specific intervention planning. These approaches collectively enhance diagnostic precision while addressing key challenges in therapeutic personalization and longitudinal care coordination. This review significantly advances intelligent PID care by resolving fundamental challenges in heterogeneous data integration, algorithmic transparency, and cross-institutional collaboration, ultimately offering a scalable blueprint for AI-powered gynecological health systems.
Graphical Abstract
Artificial Intelligence in Chronic Pelvic Inflammatory Disease Management: A Comprehensive Review of Integrated Diagnostic Frameworks and Adaptive Therapeutic Systems
Keywords
PID
bayesian network
machine learning
Data Availability Statement
Not applicable.
Funding
This work was supported without any funding.
Conflicts of Interest
The authors declare no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
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APA Style
Yang, J., & Hong, Q. (2025). Artificial Intelligence in Chronic Pelvic Inflammatory Disease Management: A Comprehensive Review of Integrated Diagnostic Frameworks and Adaptive Therapeutic Systems. ICCK Transactions on Intelligent Systematics, 2(3), 169–189. https://doi.org/10.62762/TIS.2025.511235
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