Latest AI and machine learning research in intensivists for healthcare professionals.
Electronic health record (EHR) feature engineering is a major bottleneck in clinical research and AI...
Background: Delayed Code Stroke activation contributes to worse outcomes in acute stroke. Emergency ...
Text-to-image diffusion models enable personalization of specific visual concepts from a small numbe...
BACKGROUND: Liberation from invasive mechanical ventilation (IMV) is a central therapeutic objective...
Multi-agent systems (MAS) are increasingly deployed to solve complex tasks. In case of incorrect or ...
Background: Critically ill patients with cancer and sepsis have high in-hospital mortality, but exte...
ICU trauma patients are clinically heterogeneous, and early mortality risk stratification may suppor...
Multi-frame medical VQA appears to reward increasingly complex adaptation: controller-style inferenc...
Recent 3D foundation models can generate high-quality assets from a single image, but degrade marked...
Background: Clinical decision support systems degrade silently as treatment protocols evolve, yet st...
Background: In Japan, acute inpatient care is divided into approximately 335 secondary medical care ...
Recent research in clinical machine learning, focusing on outcome predictions in intensive care unit...
ICU-to-ward transfers are high-risk transitions marked by information loss and burdensome handoff pr...
Abdominal aortic aneurysm (AAA) patients in the ICU represent a heterogeneous, high-risk population ...
Recent benchmarks for VLMs largely assess single- or limited-view perception, leaving untested the c...
Introduction: Standardizing fluid and vasopressor resuscitation in sep- tic shock is challenging due...
Background Hypercapnia may indicate a primary ventilatory syndrome, a complication of another illnes...
Objective: Acute kidney injury (AKI) affects a large proportion of patients in the intensive care un...
BackgroundHealth care organizations are increasingly required to make strategic decisions about arti...
Background: To develop and validate multiple Machine Learning (ML) algorithms that predict Mechanica...
Autonomous research agents can now draft hypotheses, write code, run experiments, and produce papers...