Work

Identifying Primary Proximal Caries Lesions in Pediatric Patients From Bitewing Radiographs Using Artificial Intelligence.

Year: 2024

Type: article

Abstract: The developed model demonstrated strong performance despite the limited dataset size. This may be attributed to the exclusion of unsuitable radiographs and the use of expert-labeled ground truth annotations. The utilization of no-code artificial intelligence may improve outcomes for computer vision tasks.

Source: PubMed

Authors: Cesar Gonzalez, Zaid Badr, Hamdi Cem Güngör, Shengtong Han, Manal D Hamdan

Institution: Marquette University

Language: English

Topic: Dental Radiography and Imaging

Subfield: Oral Surgery

Field: Dentistry

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4403557193

FWCI: 1.591

Cites:

Cited by: 4

Related to: 10