Artificial Intelligence in Predicting Postoperative Surgical Complications

Artificial intelligence (AI), once integrated into medicine, has transformed its role from a mere statistical tool to a sophisticated system capable of guiding surgical procedures and predicting outcomes. AI algorithms utilize machine learning (ML), deep learning, and neural networks to analyze large datasets and identify patterns, ultimately making accurate predictions about patient outcomes. Through continuous learning, adaptation, and updating, these systems assist healthcare professionals in the diagnosis and offer real-time guidance during surgical interventions, reducing surgical error and postoperative complications. This evolution marks a paradigm shift, enhancing precision, efficiency, and, ultimately, patient care in surgery. This review article explores the critical role of AI in predicting surgical complications and discusses associated challenges and ethical considerations.