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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Dec 20, 2025 (publication date) through Aug 7, 2025

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World Journal of Methodology

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2222-0682

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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

Table 2 Subgroup analysis of cone beam computed tomography, magnetic resonance imaging, and artificial intelligence tools in diagnostic error reduction, soft-tissue diagnosis, and diagnostic time efficiency

Modality	Reduction in diagnostic errors (%)	Improvement in soft-tissue diagnostics (%)	Reduction in diagnostic time (%)
CBCT	35	N/A	N/A
MRI	N/A	25	N/A
AI tools	N/A	N/A	40

CBCT: Cone beam computed tomography; MRI: Magnetic resonance imaging; AI: Artificial intelligence; N/A: Not applicable.

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