Advancements in Skull Base Surgery: Navigating Complex Challenges with Artificial Intelligence

Area of Science:

• Neurosurgery
• Medical Technology
• Computer Science

Background:

• Artificial intelligence (AI) is increasingly integrated into various medical fields.
• Skull base surgery involves complex procedures requiring high precision and advanced planning.

Purpose of the Study:

• To review the evolving applications of artificial intelligence (AI) in skull base surgery.
• To explore AI's impact on patient care throughout the surgical journey.

Main Methods:

• A comprehensive literature review was performed using PubMed.
• Keywords included AI, skull base surgery, diagnosis, image analysis, surgical planning, navigation, and postoperative care.
• Relevant studies were identified through keyword searches and cross-referencing.

Main Results:

• AI improves early diagnosis via algorithms analyzing clinical and radiological data.
• AI-driven image analysis aids in precise segmentation and radiomics extraction for preoperative planning.
• AI enhances surgical planning, real-time navigation, predictive analytics for risk assessment, and postoperative care, including rehabilitation.
• Virtual simulations powered by AI accelerate skill development for complex procedures.

Conclusions:

• AI significantly contributes to accurate diagnosis, surgical planning, navigation, and postoperative care in skull base surgery.
• Ethical considerations and data quality are paramount for responsible AI implementation.
• AI complements clinical expertise, offering enhanced decision-making, precision, and efficiency in skull base surgery.