Latest AI and machine learning research in transplantation for healthcare professionals.
INTRODUCTION: Halfway to the deadline of the 2030 agenda, humankind continues to face long-standing ...
Trifluoromethylation stands as a pivotal technology in modern synthetic chemistry, playing an indisp...
Keratoconus (KC) is a prevalent ectatic corneal disease and the leading cause of corneal transplanta...
BACKGROUND: Acute intestinal graft-versus-host disease (AIGVHD) is a common complication of allogene...
The remarkable capacity of the liver to regenerate its lost mass after resection makes living donor ...
BACKGROUND: While liver transplantation saves lives from irreversible liver damage, it poses challen...
Studies show that breast screening participants are open to artificial intelligence (AI) in breast s...
The adoption of deep learning in ECG diagnosis is often hindered by the scarcity of large, well-labe...
Purpose To evaluate the performance of the winning machine learning models from the 2023 RSNA Abdomi...
BACKGROUND: Necroptosis, a recently identified mechanism of programmed cell death, exerts significan...
Dysregulated mitophagy is essential for mitochondrial quality control within human cancers. However,...
The scarcity of human ocular samples with short postmortem intervals (PMIs) is a significant issue i...
INTRODUCTION: Accurate identification of graft loss in Electronic Medical Records of kidney transpla...
Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early seps...
Diffusionmodels(DMs)havedemonstratedremarkableachievements in synthesizing images of high fidelity...
Diffusion models demonstrate remarkable capabilities in capturing complex data distributions and h...
In medical image analysis, multi-organ semi-supervised segmentation faces challenges such as insuf...
Image inpainting is a widely used technique in computer vision for reconstructing missing or damag...
This study investigates how the new release of MacBook Pro I/O devices affects the obsolescence of...
The burgeoning field of foundation models necessitates advanced data processing mechanisms capable...
Diffusion models for garment-centric human generation from text or image prompts have garnered eme...