AI is revolutionizing oral and maxillofacial surgery by enhancing diagnosis, surgical planning, and postoperative care. Advanced imaging algorithms analyze radiographs, CT scans, and 3D models with unmatched precision, detecting tumors, fractures, and dental anomalies earlier than ever. Machine learning predicts surgical outcomes, personalizes treatment plans, and optimizes implant placement—transforming guesswork into data-driven precision.

In the operating room, AI-powered robotics and navigation systems streamline complex procedures, reducing operative time and minimizing complications. Virtual surgical planning (VSP) allows surgeons to simulate procedures beforehand, improving both patient communication and real-world results.

Yet challenges remain, including data privacy risks, algorithmic bias, and the ‘black box’ dilemma of AI decision-making. Despite these hurdles, AI’s potential to elevate surgical accuracy, efficiency, and patient outcomes is undeniable—ushering in a new era of innovation in oral and maxillofacial care.”

Of course. Based on the abstract provided, here are three clear objectives that capture its main themes:

1. To evaluate the impact of AI-driven diagnostic tools, such as advanced imaging algorithms, on the early and precise detection of tumors, fractures, and dental anomalies in oral and maxillofacial surgery.

2. To assess the role of AI and machine learning in improving surgical planning and execution, including the use of virtual surgical planning (VSP), outcome prediction, and AI-powered robotics for enhancing precision and reducing operative time.

3. To identify and analyze the major ethical and technical challenges.