Prediction of remission in cushing’s disease using artificial intelligence: A systematic review and meta-analysis

Key Points

• Cushing’s disease remission prediction identifies key indicators to improve patient outcomes and treatment strategies.
• Artificial intelligence methods have a high accuracy, with some algorithms achieving over 85% predictive performance in clinical settings.
• Systematic review and meta-analysis across multiple studies indicate consistent findings in remission prediction approaches across diverse populations.
• These insights support the potential for enhanced diagnostic techniques in endocrinology, with further research needed for clinical implementation.