PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 23, 2026Journal of Turkish Society of Obstetric and Gynecology2 citationsOpen Access

Inflammatory indices, machine learning and artificial intelligence in tubal ectopic pregnancy management

View Full Paper
UZUğurcan ZorluAnkara UniversitySDSenem Arda DüzInonu UniversityGKGül KurtaranSağlık Bilimleri Üniversitesi

Key Points

  • This research aims to identify effective predictive biomarkers for managing tubal ectopic pregnancy (TEP) and evaluate machine learning applications.
  • Identified inflammatory indices, including AISI, SIRI, and FAR, as predictors of treatment failure.
  • Utilized machine learning models to enhance predictive accuracy.
  • Proposed a personalized approach to TEP management based on these findings.
  • AISI, SIRI, and FAR accurately predict methotrexate failure and the need for surgery.
  • Machine learning models significantly improve prediction effectiveness.
  • Results support the need for prospective validation before clinical application.

Abstract

AISI, SIRI, and FAR are strong predictors of MTX failure and surgical intervention in TEP. Combining these biomarkers with ML models markedly improves predictive performance and supports a personalized approach to TEP management. Multicenter prospective validation is needed before clinical application.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zorlu et al. (2026) studied this question.

synapsesocial.com/papers/699bee1c1c6c6bad5397fd10https://doi.org/10.4274/tjod.galenos.2026.37165
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial Intelligence, Machine Learning, and Multi-Omics Biomarker Discovery in Ectopic Pregnancy: A Comprehensive Review2026
  2. 2Hematological Factors for Predicting Methotrexate Efficacy in Tubal Ectopic Pregnancy: A Retrospective Study2024 · 2 citations
  3. 3Prediction of ectopic pregnancy using interpretable machine learning algorithms2025 · 4 citations
  4. 4The Predictive Value of Systemic Inflammatory Markers from Failed Single-Dose Methotrexate Therapy in Tubal Ectopic Pregnancy: A Retrospective Single-Center Study2026
  5. 5Development and validation of a dynamic prediction model for single-dose methotrexate treatment success in tubal ectopic pregnancy: a multicentre cohort study in Chinese hospitals2025 · 1 citations