Prediction of recurrence after surgery for pituitary adenoma using machine learning- based models: systematic review and meta-analysis

Prediction of recurrence after surgery for pituitary adenoma using machine learning- based models: systematic review and meta-analysis

Abstract Background Predicting pituitary adenoma (PA) recurrence after surgical resection is critical for guiding clinical decision-making, and machine learning (ML) based models show great promise in improving the accuracy of these predictions. These models can provide valuable insights to surgeons...

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Main Authors: Ibrahim Mohammadzadeh, Bardia Hajikarimloo, Behnaz Niroomand, Nasira Faizi, Pooya Eini, Mohammad Amin Habibi, Alireza Mohseni, Mohammadmahdi Sabahi, Abdulrahman Albakr, Michael Karsy, Hamid Borghei-Razavi
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Endocrine Disorders
Subjects:
Pituitary adenoma
Recurrence
Machine learning
Artificial intelligence
Deep learning
Predictors
Online Access:https://doi.org/10.1186/s12902-025-01955-8
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https://doi.org/10.1186/s12902-025-01955-8

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