BEYOND SCALPEL: ARTIFICIAL INTELLIGENCE IN RISK PREDICTION AND MANAGING ORO- FACIAL TRAUMA

Abstract

The incorporation of artificial intelligence (AI) into medical diagnostics and risk management has significantly transformed healthcare, particularly in complex fields such as oro-facial trauma. AI-driven tools, like machine learning algorithms, have demonstrated substantial promise in detecting high-risk patients, predicting injury outcomes, and supporting decision-making in treatment planning. These advanced technologies leverage vast datasets, including imaging, patient history, and clinical records, to provide insights that enhance diagnostic accuracy for fractures, soft tissue injuries, and potential complications. The use of AI in oro-facial trauma care not only improves patient management but also streamlines surgical procedures and optimizes healthcare resource allocation. This review highlights current applications and future opportunities of AI in enhancing the precision and effectiveness of risk assessment, ultimately improving care in oro-facial trauma management. It examines AI's transformative role in predicting, evaluating, and managing oro-facial injuries, emphasizing its potential to elevate diagnostic accuracy and optimize patient outcomes.