Latest AI and machine learning research in product alert for healthcare professionals.
Importance: Abdominal pain causes roughly 10 million US emergency department (ED) visits annually, m...
Abstract Selective inhibition of phosphodiesterase 4B (PDE4B) remains a promising strategy for prese...
Aggregate object detection metrics inherently mask catastrophic and repeatable failures in operation...
Background: Catheter ablation is the most effective rhythm control strategy for atrial fibrillation ...
Concept Bottleneck Models (CBMs) offer interpretable alternatives to black-box predictors by introdu...
Introduction: Infectious and wound-healing complications after colorectal surgery often increase the...
Purpose: Mechanical thrombectomy (MT) improves stroke outcomes, but is limited by a lack of local tr...
Rapid and accurate situational awareness is essential for effective response during natural disaster...
ABSTRACT Background The clinical assessment of knee stability after an Anterior Cruciate Ligament (A...
Industrial anomaly detection is critical for manufacturing quality control, yet existing datasets ma...
Clinical adoption of machine learning (ML) in medical imaging is limited by the lack of interpretabi...
Explainable Artificial Intelligence (XAI) is increasingly rec ognized as essential for deploying mac...
Predictive models are often deployed through existing decision policies that stakeholders are reluct...
Chimeric Antigen Receptor T-cell (CAR-T) therapy, where genetically engineered patient T cells targe...
Background: Machine learning models for intensive care unit (ICU) mortality prediction achieve stron...
The widespread adoption of machine learning in critical applications demands techniques to mitigate ...
Optical coherence tomography (OCT), a commonly used retinal imaging modality, plays a central role i...
Clinical time-series forecasting is increasingly studied for decision support, yet standard aggregat...
Protein post-translational modifications (PTMs), particularly phosphorylation, serve as the primary ...
Accurate quantification of the geometry of curvilinear biological structures is essential for unders...
Deploying accurate object detection for Vulnerable Road User (VRU) safety on edge hardware requires ...