Machine Learning Models to Forecast Outcomes of Pituitary Surgery: A Systematic Review in Quality of Reporting and Current Evidence

Machine Learning Models to Forecast Outcomes of Pituitary Surgery: A Systematic Review in Quality of Reporting and Current Evidence

Background: The complex nature and heterogeneity involving pituitary surgery results have increased interest in machine learning (ML) applications for prediction of outcomes over the last decade. This study aims to systematically review the characteristics of ML models involving pituitary surgery ou...

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Bibliographic Details
Main Authors: Matheus M. Rech, Leonardo de Macedo Filho, Alexandra J. White, Carlos Perez-Vega, Susan L. Samson, Kaisorn L. Chaichana, Osarenoma U. Olomu, Alfredo Quinones-Hinojosa, Joao Paulo Almeida
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Brain Sciences
Subjects:
artificial intelligence
machine learning
outcomes
pituitary adenoma
adenoma
acromegaly
Online Access:https://www.mdpi.com/2076-3425/13/3/495

Internet

https://www.mdpi.com/2076-3425/13/3/495

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