A recent review by F.C. Setzer et al., published in the Journal of Dental Research, highlights the transformative potential of AI in endodontics. From enhancing diagnostic accuracy to assisting in treatment planning and execution, AI offers promising solutions to challenges like inconsistent radiographic interpretation and variability in treatment outcomes. The review also explores future directions, including augmented reality, robotics, and AI-driven education.

An excellent example of AI’s impact is illustrated in a study by F.C. Setzer et al., published in the Journal of Endodontics. The attached image compares clinician-labeled ground truth segmentation with AI-driven segmentation of CBCT images. This approach demonstrates AI’s ability to enhance diagnostic precision, particularly in detecting periapical lesions, with a detection accuracy of 93%.

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