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LIANA SEGA

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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
PubMed

Recent Publications

  • From Research Influencers to Substance Use Policymakers: Bibliometrics Demonstrate Translation from Research to Policy.
  • Temporal windows of perceptual organization: Evidence from crowding and uncrowding.
  • [Not Available].
  • Assessment of Fatigue Resistance in Heat-treated Nickel-titanium Rotary Instruments with Single Canal Curvatures: An In Vitro Evaluation.
  • Assessment of Quality and Readability of Online Patient-centered Information on Dental Veneers: An Infodemiological Study.
  • Effect of Fluoridated and Non-fluoridated Mouthwash on Tooth Movement and Surface Topography Changes of Arch Wires: An In Vivo Study.

Liana Sega, Ph.D.

University of Missouri - Kansas City

Division of Computing, Analytics and Mathematics. 
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5100 Rockhill Road, Flarsheim Hall 352J

Kansas City, Missouri 64110

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