Latest AI and machine learning research in plastic surgery for healthcare professionals.
BACKGROUND: Although artificial intelligence (AI) is revolutionizing healthcare, inaccurate or incomplete information from pretrained large language models (LLMs) like ChatGPT poses significant risks to patient safety. Retrieval-augmented generation (RAG) offers a promising solution by leveraging curated knowledge bases to enhance accuracy and reliability, especially in high-demand specialties lik...
The increasing global emphasis on sustainability in food production has heightened interest in valorizing plant-based by-products, including oilseed m...
The rapid advancement of Large Multimodal Models (LMMs) for 2D images and videos has motivated extending these models to understand 3D scenes, aimin...
PURPOSE: This study aims to highlight the significance of performing simulations, nasal hump reduction, and rasping in open-technique rhinoplasty for ...
The bidirectional communication between the skin and brain has emerged as a promising scientific paradigm in dermatology and cosmetic medicine. Neuroc...
BACKGROUND: Cosmetic surgery is becoming increasingly popular, but not all patients are suitable candidates. A thorough preoperative assessment and ca...
This study demonstrates the development of HPLC-DAD method for determination of D-panthenol incorporating the molecularly imprinted solid-phase extrac...
The rapid development of Large Multimodal Models (LMMs) for 2D images and videos has spurred efforts to adapt these models for interpreting 3D scene...
Despite advanced token compression techniques, existing multimodal large language models (MLLMs) still struggle with hour-long video understanding. ...
BACKGROUND: Artificial intelligence-driven technologies offer transformative potential in plastic surgery, spanning preoperative planning, surgical pr...
Burn injuries often result in severe hand complications, including joint contractures and nerve damage, sometimes leading to amputation. Despite early...
The growing demand for halal cosmetic products has exposed significant challenges, especially in Muslim-majority countries. Recently, various machin...
Cloud removal plays a crucial role in enhancing remote sensing image analysis, yet accurately reconstructing cloud-obscured regions remains a signif...
Recent innovations in reconstructing large scale, full-precision, neuron-synapse-scale connectomes demand subsequent improvements to graph analysis ...
This paper explores Masked Autoencoders (MAE) with Gaussian Splatting. While reconstructive self-supervised learning frameworks such as MAE learns g...
Feature Generative Adversarial Networks have emerged as powerful generative models in producing high-quality representations of unseen classes withi...
We present FaceLift, a feed-forward approach for rapid, high-quality, 360-degree head reconstruction from a single image. Our pipeline begins by emp...
The visual understanding are often approached from 3 granular levels: image, patch and pixel. Visual Tokenization, trained by self-supervised recons...
This study demonstrates a novel approach to facial camouflage that combines targeted cosmetic perturbations and alpha transparency layer manipulatio...