Latest AI and machine learning research in critical care for healthcare professionals.
False ventricular tachycardia (VT) alarms are a leading contributor to alarm fatigue in intensive ca...
Purpose: To evaluate how adaptive LLM swarm revision changes ICU mortality-risk outputs and to chara...
Multiple sclerosis (MS) white matter lesion (WML) automated segmentation on ultra-high-field 7T MRI ...
The widespread adoption of clinical large language models (LLMs) introduces significant risks of aut...
Recent efforts have aimed to automate scientific diagram generation from paper content (Lin et al., ...
Multimodal Large Language Models (MLLMs) are increasingly deployed in multi-image scenarios requirin...
Unobtrusive ballistocardiographic (BCG) sensing is a promising modality for long-term sleep-apnea mo...
The existing methods for saliency detection task focus on the application of multi-level features, a...
In multi-view anomaly detection, more cross-view information can actually hurt. When multiple inspec...
Offline reinforcement learning (RL) provides a promising framework for learning and evaluating treat...
The rapid symptom change of Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) mak...
Background: Machine learning models leveraging electronic health records (EHRs) can support earlier ...
Interstitial lung diseases (ILDs) are heterogeneous pulmonary disorders characterized by chronic inf...
Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) can worsen rapidly, making time...
Objective. Formal large language model (LLM) evaluations score isolated prompts, but clinicians and ...
Mechanical ventilation is a critical life-support intervention, requiring dynamic adjustments to ven...
Access to clinical data is essential for developing reliable healthcare machine learning systems, bu...
Healthcare data, such as Intensive Care Unit (ICU) records, comprise heterogeneous multivariate time...
Offline reinforcement learning (RL) offers considerable promise for optimizing ICU treatment decisio...
Artificial intelligence (AI) has the potential to transform healthcare, with advanced multimodal app...
Electronic health record (EHR) feature engineering is a major bottleneck in clinical research and AI...