Latest AI and machine learning research in transplantation for healthcare professionals.
Medical image classification is critical for clinical decision-making, yet demands for accuracy, i...
Survival analysis, which estimates the probability of event occurrence over time from censored dat...
Transformers, the standard implementation for large language models (LLMs), typically consist of t...
Retrieval-augmented generation (RAG) systems empower large language models (LLMs) to access extern...
Artificial intelligence technology has been applied in occupational hazards monitoring, occupational...
In Human-Robot Interaction, speech is one of the most intuitive and effective communication channel....
Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease dete...
Therapeutic hypothermia (TH) significantly reduces mortality and morbidities in neonates with Neonat...
We present \textit{kornia-rs}, a high-performance 3D computer vision library written entirely in n...
As modern software systems expand in scale and complexity, the challenges associated with their mo...
Recent unified multi-modal encoders align a wide range of modalities into a shared representation ...
Radiotherapy often involves a prolonged treatment period. During this time, patients may experienc...
By replacing standard non-linearities with polynomial activations, Polynomial Neural Networks (PNN...
OBJECTIVES: In lung transplantation (LTx), a priority is assigned to each candidate on the waiting l...
Efficient and accurate multi-organ segmentation from abdominal CT volumes is a fundamental challen...
A significant risk following a kidney transplantation is graft loss. The Screen Reject Project has d...
Integrating deep learning into clinical workflows for medical image analysis holds promise for impro...
Predicting whether a patient will develop cancer using nuclear features on pathological images is im...
Obtaining large-scale medical data, annotated or unannotated, is challenging due to stringent priv...
Scaling robot learning requires vast and diverse datasets. Yet the prevailing data collection para...
Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen....