Latest AI and machine learning research in transplantation for healthcare professionals.
Personalized head-related transfer functions (HRTFs) are essential for ensuring a realistic audito...
Purpose: The primary aim of this study is to enhance fault diagnosis in induction machines by leve...
Inference-time computation techniques, analogous to human System 2 Thinking, have recently become ...
Anomaly segmentation aims to identify Out-of-Distribution (OoD) anomalous objects within images. E...
The demand for precisely tailorable mechanical parameters of energy-absorbing structures is emerging...
Recently, Multimodal Large Language Models (MLLMs) excel at visual grounding in single-image scena...
Image segmentation plays a vital role in the medical field by isolating organs or regions of inter...
Organ segmentation of plant point clouds is a prerequisite for the high-resolution and accurate ex...
The process of selecting an optimal host material for organic light-emitting diodes (OLEDs) based on...
OBJECTIVES: Primary graft dysfunction (PGD) is an essential outcome after the heart transplant, whic...
Automated decision-making systems have become increasingly prevalent in morally salient domains of s...
Machine learning identifies liver fat fraction (FF) measured by H MR spectroscopy, insulinemia, and ...
As the global demand for protein-rich foods continues to rise, developing innovative solutions to en...
INTRODUCTION: Primary graft dysfunction (PGD) is a significant barrier to survival in lung transplan...
Oral microbiota and serum metabolites play crucial roles in diabetes, but their relationship with po...
Organs dynamically interact with each other through immunomodulation to create a systemic immune res...
Zero-dimensional (0D) cardiovascular models are reduced-order models aimed at studying the global dy...
Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...
Automatic pancreas segmentation in CT scans is crucial for various medical applications, including e...
Flow cytometry (FC) remains a cornerstone diagnostic tool for acute myeloid leukemia (AML), yet stan...
BACKGROUND: Assessing the extent of inflammation in peritubular capillaries (PTCs) is important for ...