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Manual cephalometric analysis and surgical planning are time-consuming, error-prone, and lack real-time adaptability.
TRL
AI systems like CEFBOT achieved up to 94.4% diagnostic accuracy; show strong potential for improving surgical outcomes and precision, though challenges remain in data availability, cost, and ethics.
Tu-Moor–Fiction-Based Learning for Oral Pathology
Innovator 10
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