Integrating Artificial Intelliegence into Surgical Decision-Making Enhancing Precision and Reducing Complications in complex Surgical Procedure: A Mini Review

Abstract

The integration of artificial intelligence (AI) into surgical decision-making represents a paradigm shift in modern medicine. AI's capacity to enhance precision and reduce complications in complex surgical procedures has garnered significant interest from researchers and clinicians alike. This comprehensive review explores the multifaceted role of AI in surgery, detailing its applications, benefits, and potential challenges. AI-driven advancements in preoperative planning, intraoperative guidance, and postoperative management are examined, alongside the implications of machine learning, computer vision, and robotic systems in surgical practice. Machine learning algorithms analyze extensive patient data to predict surgical outcomes, optimize planning, and personalize treatment strategies. Computer vision enhances the accuracy of image-guided surgeries, while robotic systems facilitate precise and minimally invasive procedures. These technologies collectively improve surgical accuracy, efficiency, and patient safety. Specific applications of AI in complex surgical fields such as neurosurgery, cardiac surgery, and orthopedic surgery are discussed, highlighting AI's potential to transform these high-stakes areas. Ethical considerations, including data privacy, algorithmic bias, and the need for rigorous clinical validation, are also addressed. The goal of this review is to inform and inspire further research and development in this promising field, ultimately advancing the quality and accessibility of surgical care.