GADNN: a revolutionary hybrid deep learning neural network for age and sex determination utilizing cone beam computed tomography images of maxillary and frontal sinuses.

Journal Information

Full Title: BMC Med Res Methodol

Abbreviation: BMC Med Res Methodol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Medicine

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Declarations Ethics approval and consent to participateAll methods were carried out in accordance with relevant guidelines and regulations. This study was submitted to and approved by the Hamedan University of Technology. Informed written consent was obtained from all participants. Also, informed consent was obtained from parents or their legal participants for participants under 16 years of age. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

Evidence found in paper:

"Funding No funding resources."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025