Latest AI and machine learning research in intensivists for healthcare professionals.
Heart failure is one of the leading causes of death worldwide, with millons of deaths each year, according to data from the World Health Organization (WHO) and other public health agencies. While significant progress has been made in the field of heart failure, leading to improved survival rates and improvement of ejection fraction, there remains substantial unmet needs, due to the complexity an...
In critical care settings, where precise and timely interventions are crucial for health outcomes, evaluating disparities in patient outcomes is essential. Current approaches often fail to fully capture the impact of respiratory support interventions on individuals affected by social determinants of health. While attributes such as gender, race, and age are commonly assessed and provide valuable...
Multi-modal Large Language Models (MLLMs) are capable of precisely extracting high-level semantic information from multi-modal data, enabling multi-...
Predicting medical events in advance within critical care settings is paramount for patient outcomes and resource management. Utilizing predictive m...
Conversational query clarification enables users to refine their search queries through interactive dialogue, improving search effectiveness. Tradit...
Visuo-tactile sensors aim to emulate human tactile perception, enabling robots to precisely understand and manipulate objects. Over time, numerous m...
The adoption of EHRs has expanded opportunities to leverage data-driven algorithms in clinical care and research. A major bottleneck in effectively ...
Insulators are crucial insulation components and structural supports in power grids, playing a vital role in the transmission lines. Due to temperat...
Under-resourced or rural hospitals have limited access to medical specialists and healthcare professionals, which can negatively impact patient outc...
Conventional multi-modal multi-label emotion recognition (MMER) from videos typically assumes full availability of visual, textual, and acoustic mod...
Medical time series has been playing a vital role in real-world healthcare systems as valuable information in monitoring health conditions of patien...
Large Language Models (LLMs) demonstrate remarkable generalizability across diverse tasks, yet genomic foundation models (GFMs) still require separa...
Multi-index models provide a popular framework to investigate the learnability of functions with low-dimensional structure and, also due to their co...
Large multimodal models (LMMs) demonstrate impressive capabilities in understanding images, videos, and audio beyond text. However, efficiently serv...
Cloud infrastructure is the collective term for all physical devices within cloud systems. Failures within the cloud infrastructure system can sever...
Given the energy constraints in autonomous mobile agents (AMAs), such as unmanned vehicles, spiking neural networks (SNNs) are increasingly favored ...
In industrial settings, the accurate detection of anomalies is essential for maintaining product quality and ensuring operational safety. Traditiona...
Precise characterization of stroke lesions from MRI data has immense value in prognosticating clinical and cognitive outcomes following a stroke. Ma...
To address the high risks associated with improper use of safety gear in complex power line environments, where target occlusion and large variance ...
Video generation has achieved significant advances through rectified flow techniques, but issues like unsmooth motion and misalignment between video...