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Division of Computing, Analytics and Mathematics

School of Science and Engineering, University of Missouri Kansas City

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Could Artificial Intelligence help in predicting opioid use disorders? All that glitters is not gold.

Cascella, Marco. 2025. “Could Artificial Intelligence Help in Predicting Opioid Use Disorders? All That Glitters Is Not Gold.”. Journal of Opioid Management 21 (5): 367-68.

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Last updated on 10/22/2025
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Recent Publications

Dental Marginal Adaptation of Inlay/Onlay Restorations Fabricated with Digital and Conventional Techniques: A Systematic Review.
Evaluation of Horizontal Ridge Augmentation Using 1% Metformin Gel and PRF in Split Crest Technique: A Randomized Controlled Clinical Trial.
Evaluation of Marginal and Internal Adaptation of Endocrowns Fabricated from Nano-ceramic Hybrid and Lithium Disilicate Ceramic Materials: A Randomized Controlled Clinical Trial.
Gingival Recession and Marginal Adaptation of Zirconia Crowns with Two Subgingival Margin Designs: A Randomized Clinical Trial.
In the eye of the beholder? Gaze perception and the external morphology of the human eye.
Local motion governs visibility and suppression of biological motion in continuous flash suppression.

Liana Sega, Ph.D.

University of Missouri - Kansas City

Division of Computing, Analytics and Mathematics.

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