AI may revolutionized Dental Surgery, reveals research
Texas A&M University researchers Dr. Yuxiao Zhou, assistant professor in the J. Mike Walker '66 Department of Mechanical Engineering, and Dr. Jaesung Lee, assistant professor in the Wm Michael Barnes '64 Department of Industrial and Systems Engineering, have been awarded the 2024 Seed Program for AI, Computing, and Data Science award.
Their project, “Toward Smart Orthopedic Surgery Planning by using Physics-Informed Machine Learning,” was selected as one of the top ten proposals in a competitive cycle featuring 39 submissions from researchers across three institutions.
Dental implant surgeries are critical for enhancing the quality of life, particularly among the aging population. However, their success depends on achieving optimal mechanical stress levels in the surrounding bone during chewing to prevent bone loss from insufficient loading and avoid bone fracture due to excessive loading.
Implant success is complicated by challenges such as delayed bone healing and age-related bone loss in older individuals and varying bone stiffness. Current methods for measuring bone stiffness are often invasive, computationally costly, or lack accuracy, creating a need for innovative and practical patient-specific solutions.
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