Latest AI and machine learning research in critical care for healthcare professionals.
BackgroundIntensive care unit (ICU) hospitalizations of very old patients with acute respiratory inf...
Recent advancements in diagnostic technologies have significantly transformed the landscape of respi...
This review paper comprehensively examines recent advancements in machine learning (ML) applications...
Central Apnea (CA) and Central Hypopnea (CH) are sleep disorders arising from the brain's inability ...
Medical image segmentation plays a critical role in modern clinical diagnosis. However, existing met...
BACKGROUND: Distinguishing between productive (wet) and non-productive (dry) cough types is importan...
The prediction of Intensive Care Unit (ICU) readmission has become a crucial area of research due to...
In real-world scenarios, multi-view multi-label learning often encounters the challenge of incomplet...
A machine learning integrated SERS sensing platform is developed for a single-shot, receptor-free, r...
The purpose of this paper is to explore a multi-modal approach to enhancing live broadcast engagem...
Background: Conventional cardiovascular magnetic resonance (CMR) in paediatric and congenital hear...
Multi-task learning (MTL) has demonstrated significant advantages in the field of physiological sign...
Implicit Neural representations (INRs) have emerged as a promising approach for video compression,...
Invasive mechanical ventilation (MV) is a life-sustaining therapy for critically ill patients in t...
Solving Inverse Kinematics (IK) problems is fundamental to robotics, but has primarily been succes...
Identifying and measuring biases associated with sensitive attributes is a crucial consideration i...
: Effective lung gas exchange relies on the balance between alveolar ventilation and perfusion, whic...
In this paper, we introduce knowledge image generation as a new task, alongside the Massive Multi-...
Respiratory diseases is a major challenge to global public health. In recent years, acoustic technol...
The integration of artificial intelligence (AI) and machine learning-enabled medical technologies in...
We propose Noise Conditional Variational Score Distillation (NCVSD), a novel method for distilling...