Comparative Assessment of Efficiency and Productivity in Implant Crown Design Generated by Artificial Intelligence, Digital Designers, and Dental Students
Naydenov A; Uzunov T; Kostadinov G; Bogdanov T; Liondev I · 2026 · Preprint
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Abstract Objectives . This study aimed to compare the efficiency and productivity of a three-dimensional Generative Adversarial Network (3DGAN) with experienced digital operators and dental students in the design of screw-retained implant…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Europe PMC · DOI 10.21203/rs.3.rs-9402895/v1