This study investigates whether surface topography measurements of body volume difference and torso volume difference between maximum inhale and exhale correlate to values determined on pulmonary function tests.
In this study, we conducted a large-scale multi-ethnic meta-analysis of Genome-Wide Association Study (GWAS), including 9674 East Asians and 10,115 Europeans, quantitatively assessing 78 facial traits using 3D facial images.
Tomorrow’s digital ‘human’ creation will be based on AI learning from authentic real-world data of people recorded physically in action with the utmost 3D fidelity.
MPI-IS builds VAREN (2024), a 3D horse shape and pose model, with 3dMD’s real-world dynamic scan data.
Jena University Hospital researchers used the 3dMD face system to objectively track dynamic 4D volume changes in synkinetic facial palsy patients before and after biofeedback therapy.
University of Houston researcher used 3dMDtorso scans to develop an AI-based image retrieval system that helps surgeons show patients medically appropriate prior-case examples during breast reconstruction consultations.
This data-driven method mitigates the risk of human biases in therapeutic evaluations and effectively transitions from static 2D images to dynamic 4D assessments of facial palsy state.
36 patients (25-72 years, 8 male, 28 female) with unilateral chronic synkinetic facial palsy, which is presumed to be a significant factor affecting classification, were recorded three times using the 30Hz 3dMDface system.
Imperial College London builds Design2Cloth (2024), a 3D garment generation model, with 3dMD’s real-world 2,010-subject dataset.
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.