Latest AI and machine learning research in intensivists for healthcare professionals.
Machine learning can be crucial to help scale complex signal processing applications in scenarios su...
Sepsis and heart failure share early-warning physiology but require divergent treatments, complicati...
Rapid evaluation of many simultaneous road-link disruptions requires a practical compromise between ...
Sepsis is a leading cause of hospital mortality, yet timely recognition is hampered by nonspecific p...
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...
The widespread adoption of clinical large language models (LLMs) introduces significant risks of aut...
Multimodal Large Language Models (MLLMs) are increasingly deployed in multi-image scenarios requirin...
Currently used sepsis severity indices rely on fixed variables and weights established decades ago, ...
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...
Universal multimodal embeddings are becoming a core component of modern AI systems, enabling heterog...
We study spherical occupancy profiles-the ray-wise occupancy probability profiles P(r) = T(r) o(r) d...
We study spherical occupancy profiles-the ray-wise occupancy probability profiles P(r) = T(r) o(r) d...
Background: Machine learning models leveraging electronic health records (EHRs) can support earlier ...
Diagnosing faults in rotating machinery is essential for ensuring the reliability of industrial proc...
Access to clinical data is essential for developing reliable healthcare machine learning systems, bu...
Offline reinforcement learning (RL) offers considerable promise for optimizing ICU treatment decisio...
Bio-based alternatives for conventional rigid foams have proven to be good substituents owing to the...
Recent vision-language models (VLMs) can generate executable CAD programs from images, but existing ...