Retrospective study: preoperative MRI features for predicting microvascular decompression outcomes in trigeminal neuralgia

BMC Medical Informatics and Decision Making · Published 2026-08-03 · DOI 10.1186/s12911-026-03745-1

Free full text

Authors (4)

Fei Chen, Dandan Shang, Dengbin Sun, Zhaoping Wang

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Chen, F., Shang, D., Sun, D., et al. (2026). Retrospective study: preoperative MRI features for predicting microvascular decompression outcomes in trigeminal neuralgia. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03745-1

Related articles

• Rethinking hyperparameter optimization for efficient and explainable machine learning in civic health decision-making: empirical evidence from malaria severity prediction · BMC Medical Informatics and Decision Making · 2026 · Same journal
• Contrastive explainable AI in healthcare: a systematic review of trends, benefits, research gaps, and future directions · BMC Medical Informatics and Decision Making · 2026 · Same journal
• A machine learning model based on mPASS and imaging features for early assessment of clinically relevant outcomes in acute pancreatitis · BMC Medical Informatics and Decision Making · 2026 · Same journal
• Evaluation of chatbot and specialist knowledge on pediatric sedation and general anesthesia: a comparative analysis · BMC Medical Informatics and Decision Making · 2026 · Same journal
• Predicting infection risk in rheumatoid arthritis patients receiving biological or targeted synthetic disease-modifying anti-rheumatic drugs: an application of machine learning and healthcare big data · BMC Medical Informatics and Decision Making · 2026 · Same journal
• LLM-assisted multidisciplinary decision-making in lung cancer: efficacy of Gemini-2.5-Pro and GPT-5 in a real-world MDT setting · BMC Medical Informatics and Decision Making · 2026 · Same journal
• AI-powered spectral CT analysis for clinical decision support in carotid vulnerable plaque detection: a deep learning approach · BMC Medical Informatics and Decision Making · 2026 · Same journal
• Data heterogeneity and algorithmic bias in AI-based antimicrobial resistance prediction: a systematic review and mitigation framework · BMC Medical Informatics and Decision Making · 2026 · Same journal
• Performance of large language models and pediatricians in complex pediatric scenarios: a prospective, randomized comparative study of clinical task accuracy and decision support · BMC Medical Informatics and Decision Making · 2026 · Same journal
• Implementation science-guided rollout of a standalone radiology clinical decision support system in a tertiary emergency department: findings from a pragmatic controlled before-after study · BMC Medical Informatics and Decision Making · 2026 · Same journal