Latest AI and machine learning research in kidney transplantation for healthcare professionals.
Conventional pixel-wise loss functions fail to enforce topological constraints in coronary vessel se...
Harmonization methods such as ComBat and its variants are widely used to mitigate diffusion MRI (dMR...
Few-Shot Action Recognition (FS-AR) has shown promising results but is often limited by a closed-set...
Accurate rejection of sensitive or harmful visual content, i.e., harmful image guardrail, is critica...
Accurate brain tumor diagnosis requires models to not only detect lesions but also generate clinical...
Foundation models increasingly offer potential to support interactive, agentic workflows that assist...
Primary central nervous system lymphoma (PCNSL) is a subtype of diffuse large B-cell lymphoma (DLBCL...
Background: Traditional heart transplant registries often lack the granularity required for deep phe...
Respiratory rate (RR) is a key vital sign for clinical assessment and mental well-being, yet it is r...
Precise localization with respect to a set of objects of interest enables mobile robots to perform v...
Cardiovascular diseases (CVD) are the leading cause of death worldwide, with coronary artery disease...
Introduction: Tacrolimus remains central to liver transplantation, yet its narrow therapeutic index ...
The growth of generative AI and easily available Open Access health datasets has transformed researc...
Lupus nephritis (LuN) and renal allograft rejection (RAR) manifest inflammation and fibrosis that ul...
Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...
The utilization of cellulose derivatives offers an eco-friendly alternative to petroleum-based polym...
Recently, Multimodal Large Language Models (MLLMs) excel at visual grounding in single-image scena...
Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...
BACKGROUND: Assessing the extent of inflammation in peritubular capillaries (PTCs) is important for ...
Resource recovery from textile wastewater has attracted increasing interest because it simultaneousl...
Federated Prompt Learning has emerged as a communication-efficient and privacy-preserving paradigm...