This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Decision Support for Health Professionals (1539) Pregnancy Information, Education and Lifestyle Interventions (400) Clinical Information and Decision Making (1915) Artificial Intelligence (2129) Obstetrics, Gynecology, and Reproductive Medicine (329)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54737, first published .
Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review

Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review

Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review

Authors of this article:

Xinnian Lin1 Author Orcid Image ;   Chen Liang2, 3 Author Orcid Image ;   Jihong Liu4 Author Orcid Image ;   Tianchu Lyu3 Author Orcid Image ;   Nadia Ghumman3 Author Orcid Image ;   Berry Campbell5 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Journals

  1. Mingming X, Youdi X. Role transformation of Chinese obstetricians and improvement of obstetric service systems amid declining birth rates: Challenges and strategies. Heliyon 2024;10(23):e40011 View
  2. Abdalrahman Mohammad Ali M, Abdelgadir Elhabeeb S, Abdalla Elsheikh N, Abdalla Mohammed F, Mahmoud Ali S, Ibrahim Abdelhalim A, Altom D. Advancing Obstetric Care Through Artificial Intelligence-Enhanced Clinical Decision Support Systems: A Systematic Review. Cureus 2025 View
  3. Abdelgadir Elhabeeb S, Mahmoud Ali S, Ahmed Elkhidir Babikir M, Abdalla Mohammed F, Mahmoud Ali S, Abd Elfrag Mohamed N, Abdalla Elsheikh N. Enhancing Obstetric Decision-Making With AI: A Systematic Review of AI Models for Predicting Mode of Delivery. Cureus 2025 View
  4. Feng X, Li P, Zhao R, Li W, Zhu T, Hao X, Chen G. Barriers and Enablers to Using a Mobile App–Based Clinical Decision Support System in Managing Perioperative Adverse Events Among Anesthesia Providers: Cross-Sectional Survey in China. Journal of Medical Internet Research 2025;27:e60304 View
  5. Qi Y, Mohamad E, Azlan A, Zhang C. Utilization of artificial intelligence in clinical practice: A systematic review of China's experiences. DIGITAL HEALTH 2025;11 View
  6. Aftab N. Artificial Intelligence in Obstetrics and Gynaecology: Advancing Precision and Personalised Care. Cureus 2025 View
  7. He X, Liu S, Wang Y, Du H, Lin Q, Wang W, Ou Z, Zheng L. Extracellular vesicles in pregnancy-related disorders: from mechanisms to clinical implications. Science China Life Sciences 2025 View
  8. Psilopatis I, Lotz L, Sipulina N, Heindl F, Levidou G, Emons J. Leveraging artificial intelligence for evidence‐based recommendations in uterine fibroid therapy: Addressing the unmet need in German healthcare—A clinical trial. International Journal of Gynecology & Obstetrics 2025 View
  9. El Arab R, Al Moosa O, Albahrani Z, Alkhalil I, Somerville J, Abuadas F. Integrating Artificial Intelligence into Perinatal Care Pathways: A Scoping Review of Reviews of Applications, Outcomes, and Equity. Nursing Reports 2025;15(8):281 View
  10. Vasudevan L, Kibria M, Kucirka L, Shieh K, Wei M, Masoumi S, Balasubramanian S, Victor A, Conklin J, Gurcan M, Stuebe A, Page D. Machine Learning Models to Predict Risk of Maternal Morbidity and Mortality From Electronic Medical Record Data: Scoping Review. Journal of Medical Internet Research 2025;27:e68225 View
  11. dos Santos G. Using artificial intelligence as a technological tool in gynecologic and obstetric health: A narrative literature review. International Journal of Gynecology & Obstetrics 2025 View
  12. Abbas Q, Jeong W, Lee S. Explainable AI in Clinical Decision Support Systems: A Meta-Analysis of Methods, Applications, and Usability Challenges. Healthcare 2025;13(17):2154 View
  13. Spiel M. Editorial: Artificial intelligence in cardio-obstetrics — A technological leap toward safer pregnancies. Trends in Cardiovascular Medicine 2025 View
  14. Wang Q, Yin J, Zhang X, Ou H, Li F, Zhang Y, Wan W, Guo C, Cao Y, Luo T, Wang X. Applications of artificial intelligence in early childhood health management: a systematic review from fetal to pediatric periods. Frontiers in Pediatrics 2025;13 View
  15. Su P, Shih H, Xu J. Rapid Liver Fibrosis Evaluation Using the UNet-ResNet50-32 × 4d Model in Magnetic Resonance Elastography: Retrospective Study. JMIR Medical Informatics 2025;13:e80351 View

Conference Proceedings

  1. S S, Sangeetha K, J A, S S, V V, Jegajothi B. 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA). AI-Augmented Fetal Health Monitoring: A Cloud-based Secure Deep Learning Approach View