Sex prediction through machine learning utilizing mandibular condyles, coronoid processes, and sigmoid notches features.

Autor: Basso IB; Postgraduate Program in Dentistry, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil., de Jesus Freitas PF; School of Dentistry, Tuiuti University of Paraná, Curitiba, Paraná, Brazil., Ferraz AX; Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.; Center for Artificial Intelligence in Health-NIAS, Curitiba, Paraná, Brazil., Borkovski AJ; Graduate Program in Dentistry, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil., Borkovski AL; Graduate Program in Dentistry, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil., Santos RS; Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.; Center for Artificial Intelligence in Health-NIAS, Curitiba, Paraná, Brazil., Rached RN; Postgraduate Program in Dentistry, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil., Küchler EC; Medical Faculty, Department of Orthodontics, University Hospital Bonn, Bonn, Germany., Schroder AGD; School of Dentistry, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.; Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.; Center for Artificial Intelligence in Health-NIAS, Curitiba, Paraná, Brazil., de Araujo CM; School of Dentistry, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.; Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.; Center for Artificial Intelligence in Health-NIAS, Curitiba, Paraná, Brazil., Guariza-Filho O; Postgraduate Program in Dentistry, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil.; Center for Artificial Intelligence in Health-NIAS, Curitiba, Paraná, Brazil.

Publikováno v: PloS one [PLoS One] 2024 Nov 15; Vol. 19 (11), pp. e0312824. Date of Electronic Publication: 2024 Nov 15 (Print Publication: 2024).