Latest AI and machine learning research in critical care for healthcare professionals.
Unplanned admissions for worsening heart failure (WHF) are the largest resource cost in heart failur...
Magnetic resonance imaging (MRI) is a powerful noninvasive diagnostic imaging tool that provides u...
This study presents an unsupervised, motion-resolved reconstruction framework for high-resolution,...
Smart rings offer a convenient way to continuously and unobtrusively monitor cardiovascular physio...
Auscultation remains a cornerstone of clinical practice, essential for both initial evaluation and...
Heating, Ventilation, and Air Conditioning (HVAC) systems are essential for maintaining indoor env...
Standardised tests using short answer questions (SAQs) are common in postgraduate education. Large...
Current multi-subject customization approaches encounter two critical challenges: the difficulty i...
Although large language models (LLMs) have demonstrated impressive reasoning capabilities across g...
The dynamic nature of human health and comfort calls for adaptive systems that respond to individu...
Background and objective The diagnosis of periprosthetic joint infection (PJI) relies on established...
Introduction and aim Large language models (LLMs) are transforming medical education by offering inn...
Representation bias in health data can lead to unfair decisions and compromise the generalisability ...
Purpose To assess the prognostic value of an open-source deep learning-based chest radiographs algor...
Background Forced vital capacity (FVC) is a standard measure of respiratory function in patients wit...
BackgroundWith the advancement of Artificial Intelligence (AI), clinical engineering has witnessed t...
The latest trend in anomaly detection is to train a unified model instead of training a separate m...
Early detection of asthma in children is crucial to prevent long-term respiratory complications an...
Accurate detection of breast cancer from high-resolution mammograms is crucial for early diagnosis...
When implementing prediction models for high-stakes real-world applications such as medicine, fina...
Pre-trained deep learning models, known as foundation models, have become essential building block...