Thermal facial image analyses reveal quantitative hallmarks of aging and metabolic diseases. Z Yu, Y Zhou, K Mao, B Pang, K Wang, T Jin, H Zheng, H Zhai, Y Wang, X Xu, H Liu, Y Wang, JDJ Han.

We collected thermal and 3dMD facial images of 2,811 Han Chinese individuals 20–90 years old, developed the ThermoFace method to automatically process and analyze images, and then generated thermal age and disease prediction models.

Prospective cohort study on facial profile changes in infants with Robin sequence and healthy controls. C Wiechers, J Sowula, K Kreutzer, et al.

For infants up to age three months, 3D images were performed in our neonatal intermediate care unit in the supine position using a 10Hz 3dMDface.t System with this set-up being developed specifically for this study. Subsequently, 3D images were taken in an upright position with infants sitting on their parent’s lap in the department of orthodontics using a 10Hz 3dMDtrio.t system.

Fully automated landmarking and facial segmentation on 3D photographs. B Berends, F Bielevelt, R Schreurs, et al.

A deep learning-based approach for automated landmark extraction from 3dMD facial photographs was developed and its precision was evaluated. The results showed high precision and consistency in landmark annotation, comparable to manual and semi-automatic annotation methods.

Automated three-dimensional analysis of facial asymmetry in patients with syndromic coronal synostosis: A retrospective study. TM Choi, X Liu, T Abdel-Alim, ML van Veelen, IMJ Mathijssen, EB Wolvius, GV Roshchupkin.

101 patients from 2005 to 2022 were selected for inclusion according to the following criteria: diagnosis molecularly confirmed; were of Caucasian descent; had only premature fusion of left and/or right coronal suture(s); had undergone only one craniofacial surgery; were younger than 18 years; had undergone no orthodontic treatment; had no extraction of permanent teeth; and had not undergone maxillary osteotomy.