Latest AI and machine learning research in transplantation for healthcare professionals.
PURPOSE: A major concern for patients undergoing facial transplantation relates to postoperative appearance. This study leverages artificial intelligence (AI) visual analysis software to provide an objective assessment of perceived age and degree of resemblance to the donor.
The use of patient-specific computational modeling of cardiovascular diseases has become increasingly popular to improve patient standard of care. Most simulation approaches currently utilize the finite element method (FEM), which is very well established and succeeds in producing high-fidelity results. However, it remains too slow for use in clinical settings, especially when many-query solutions...
BACKGROUND AND AIM: Liver transplant (LT) recipients may succumb to graft-related pathologies, contributing to graft fibrosis (GF). Current methods to...
Recent advancements in software engineering agents have demonstrated promising capabilities in automating program improvements. However, their relia...
Automated patient positioning is a crucial step in streamlining MRI workflows and enhancing patient throughput. RGB-D camera-based systems offer a p...
SUMMARY: In single-cell transcriptomics, inconsistent cell type annotations due to varied naming conventions and hierarchical granularity impede data ...
Neural networks have demonstrated remarkable success in modeling nonlinear dynamical systems. However, identifying these systems from closed-loop ex...
Multi-organ segmentation holds paramount significance in many clinical tasks. In practice, compared to large fully annotated datasets, multiple smal...
Nonlinear dynamics system identification is crucial for circuit emulation. Traditional continuous-time domain modeling approaches have limitations i...
Image registration is an essential technique for the analysis of Computed Tomography (CT) images in clinical practice. However, existing methodologi...
Recent advances in deep thinking models have demonstrated remarkable reasoning capabilities on mathematical and coding tasks. However, their effecti...
The exponential expansion of real-time data streams across multiple domains needs the development of effective event detection, correlation, and dec...
Reasoning segmentation (RS) aims to identify and segment objects of interest based on implicit text queries. As such, RS is a catalyst for embodied ...
Aquatic bodies face numerous environmental threats caused by several marine anomalies. Marine debris can devastate habitats and endanger marine life...
The question of how to make decisions that maximise the well-being of all persons is very relevant to design language models that are beneficial to ...
Attribute detection is crucial for many computer vision tasks, as it enables systems to describe properties such as color, texture, and material. Cu...
Encryption is crucial for securing sensitive data during transmission over networks. Various encryption techniques exist, such as AES, DES, and RC4,...
Conditional human animation transforms a static reference image into a dynamic sequence by applying motion cues such as poses. These motion cues are...
Hiding data using neural networks (i.e., neural steganography) has achieved remarkable success across both discriminative classifiers and generative...
Socio-psychological studies have identified a common phenomenon where an individual's public actions do not necessarily coincide with their private ...