Transplantation

Latest AI and machine learning research in transplantation for healthcare professionals.

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Ethical concerns surrounding artificial intelligence in anatomy education: Should AI human body simulations replace donors in the dissection room?

The potential effects of artificial intelligence (AI) on the teaching of anatomy are unclear. We exp...

Artificial dragonfly algorithm in the Hopfield neural network for optimal Exact Boolean k satisfiability representation.

This study proposes a novel hybrid computational approach that integrates the artificial dragonfly a...

A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.

PURPOSE: Deep learning-based networks have become increasingly popular in the field of medical image...

Autologous Transplantation Tooth Guide Design Based on Deep Learning.

BACKGROUND: Autologous tooth transplantation requires precise surgical guide design, involving manua...

Donor activity is associated with US legislators' attention to political issues.

Campaign contributions are a staple of congressional life. Yet, the search for tangible effects of c...

Artificial Intelligence and liver: Opportunities and barriers.

Artificial Intelligence (AI) has recently been shown as an excellent tool for the study of the liver...

Training of epitope-TCR prediction models with healthy donor-derived cancer-specific T cells.

Discovery of epitope-specific T-cell receptors (TCRs) for cancer therapies is a time consuming and e...

In-Sensor Computing Realization Using Fully CMOS-Compatible TiN/HfO-Based Neuristor Array.

With the evolution of artificial intelligence, the explosive growth of data from sensory terminals g...

A robust deep learning workflow to predict CD8 + T-cell epitopes.

BACKGROUND: T-cells play a crucial role in the adaptive immune system by triggering responses agains...

Tailored multi-organ segmentation with model adaptation and ensemble.

Multi-organ segmentation, which identifies and separates different organs in medical images, is a fu...

PSMA-PET improves deep learning-based automated CT kidney segmentation.

UNLABELLED: For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume ...

Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study.

Liver Transplantation is complicated by recurrent fibrosis in 40% of recipients. We evaluated the ab...

Robust Prototypical Few-Shot Organ Segmentation With Regularized Neural-ODEs.

Despite the tremendous progress made by deep learning models in image semantic segmentation, they ty...

Validation of a Parvovirus B19 NAT Assay for Screening of Umbilical Cord Blood for Allogenic Hematopoietic Stem Cell Donation.

INTRODUCTION: Parvovirus B19 transmitted by umbilical cord blood (UCB) products may cause severe dis...

Neuromorphic applications in medicine.

In recent years, there has been a growing demand for miniaturization, low power consumption, quick t...

The impact of a dedicated operating room team on robotic transplant program growth and fellowship training.

INTRODUCTION: Despite considerable interest in robotic surgery, successful incorporation of robotics...

Global serum profiling: an opportunity for earlier cancer detection.

The advances in cancer research achieved in the last 50 years have been remarkable and have provided...

Organ-on-a-chip meets artificial intelligence in drug evaluation.

Drug evaluation has always been an important area of research in the pharmaceutical industry. Howeve...

Artificial Intelligence-Aided Massively Parallel Spectroscopy of Freely Diffusing Nanoscale Entities.

Massively parallel spectroscopy (MPS) of many single nanoparticles in an aqueous dispersion is repor...

Robot-assisted versus laparoscopic living donor nephrectomy: superior outcomes after completion of the learning curve.

The use of robots in donor nephrectomy has increased in recent years. However, whether robot-assiste...

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