Litcius/Paper detail

Assessment of accuracy and reproducibility of cephalometric identification performed by 2 artificial intelligence-driven tracing applications and human examiners

Thaísa Pinheiro Silva, Maria Clara Rodrigues Pinheiro, Deborah Queiroz Freitas, Hugo Gaêta‐Araujo, Christiano Oliveira‐Santos

2024Oral Surgery Oral Medicine Oral Pathology and Oral Radiology11 citationsDOI

Topics & Concepts

ReproducibilityIntraclass correlationMedicineRadiographyOrthodonticsCephalometric analysisStandard deviationReliability (semiconductor)LandmarkDentistryArtificial intelligenceMathematicsComputer scienceStatisticsRadiologyPhysicsQuantum mechanicsPower (physics)Dental Radiography and ImagingForensic Anthropology and Bioarchaeology StudiesOrthodontics and Dentofacial Orthopedics
Assessment of accuracy and reproducibility of cephalometric identification performed by 2 artificial intelligence-driven tracing applications and human examiners | Litcius