Latest AI and machine learning research in plastic surgery for healthcare professionals.
Amelogenesis imperfecta (AI) affects enamel on primary and permanent dentition. This hereditary diso...
Morinda citrifolia L. commonly known as noni is used by the pharmaceutical and cosmetic industries d...
Dictionary learning algorithms have been successfully used for both reconstructive and discriminativ...
This report describes development of an in silico, expert rule-based method for the classification o...
BACKGROUND: A robotic surgery technique of harvesting the latissimus dorsi muscle flap has technical...
The skin sensitization potential of chemicals has been determined with the use of the murine local l...
This is part II of an in silico investigation of chemical-induced eye injury that was conducted at F...
Evaluation of potential chemical-induced eye injury through irritation and corrosion is required to ...
A library of 600 taxonomically diverse Panamanian plant extracts was screened for DPPH scavenging an...
BACKGROUND: Robotic-assisted thyroid surgery using a retroauricular approach was reported as a novel...
Existing supervised and self-supervised EEG models mainly learn within-segment discriminative or rec...
Current world models for explicit world simulation typically follow two distinct pathways: (1) video...
Image-to-text (I2T) understanding and text-to-image (T2I) generation are dual tasks in unified multi...
World-action models (WAMs) couple future visual-state prediction with action generation. By adapting...
Robot foundation models learn manipulation from large demonstration corpora, but surgery is missing ...
Self-supervised pretraining on remote sensing imagery typically treats all samples as equally inform...
This work focuses on the impact and detection of clear contact lenses in the context of iris recogni...
Multimodal large language models excel at passive perception but struggle with complex visual cognit...
Ask a commercial image editor to preview a cosmetic procedure and it will often change more of the f...
The deep learning revolution, kicked off by AlexNet, taught us that end-to-end training beats decomp...
Generative models trained on a source domain often produce samples that are poorly aligned with shif...