Artificial intelligence for early diagnosis and risk prediction of periodontal-systemic interactions: Clinical utility and future directions

doi:10.5662/wjm.v15.i4.105516

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World Journal of Methodology

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Methodol. Dec 20, 2025; 15(4): 105516
Published online Dec 20, 2025. doi: 10.5662/wjm.v15.i4.105516

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Figure 5 Correlation between diagnostic accuracy, sensitivity, and specificity across cone beam computed tomography, magnetic resonance imaging, and artificial intelligence modalities. CBCT: Cone beam computed tomography; MRI: Magnetic resonance imaging; AI: Artificial intelligence.

Citation: Das N, Gade KR, Addanki PK. Artificial intelligence for early diagnosis and risk prediction of periodontal-systemic interactions: Clinical utility and future directions. World J Methodol 2025; 15(4): 105516
URL: https://www.wjgnet.com/2222-0682/full/v15/i4/105516.htm
DOI: https://dx.doi.org/10.5662/wjm.v15.i4.105516