Machine learning-based models for intraoperative blood loss of retroperitoneal laparoscopic adrenalectomy

Key Points

• Intraoperative blood loss can be effectively predicted using machine learning models, enhancing surgical safety.
• The prediction accuracy reached 85% when testing various predictive modeling techniques.
• Observational analysis across multiple institutions evaluated the application of machine learning algorithms on surgical data.
• Improved predictive capabilities may lead to better surgical planning, decreasing the risk of excessive blood loss.