Latest AI and machine learning research in product alert for healthcare professionals.
Sepsis is a major public health concern due to its high morbidity, mortality, and cost. Its clinical outcome can be substantially improved through early detection and timely intervention. By leveraging publicly available datasets, machine learning (ML) has driven advances in both research and clinical practice. However, existing public datasets consider ICU patients (Intensive Care Unit) as a unif...
Autonomous inspection of underground infrastructure, such as sewer and culvert systems, is critical to public safety and urban sustainability. Although robotic platforms equipped with visual sensors can efficiently detect structural deficiencies, the automated generation of human-readable summaries from these detections remains a significant challenge, especially on resource-constrained edge devic...
Background: Post-operative tachycardia is a common and poorly understood complication following the Fontan procedure. Post-operative factors such as s...
Deploying learned control policies on humanoid robots is challenging: policies that appear robust in simulation can execute confidently in out-of-dist...
Modern natural language tools have potential to improve clinical workflows, but few have been successfully deployed in practice. Here, we present the ...
As Text-to-Image (T2I) diffusion models are increasingly used in real-world creative workflows, a principled framework for valuing contributors who pr...
Vision-language models (VLMs) have become central to tasks such as visual question answering, image captioning, and text-to-image generation. However,...
The concept of embodied sensorimotor decision-making proposes that processes implicated in evaluating sensory inputs and selecting appropriate motor a...
Accurate prediction of drug response in precision medicine requires models that capture how specific chemical substructures interact with cellular pat...
Deep neural two-sample tests have recently shown strong power for detecting distributional differences between groups, yet their black-box nature limi...
Aortic valve opening (AO) events are crucial for detecting frequency and rhythm disorders, especially in real-world settings where seismocardiography ...
Introduction: Tacrolimus remains central to liver transplantation, yet its narrow therapeutic index and pharmacokinetic variability are associated wit...
Deep learning has achieved remarkable success in image recognition, yet their inherent opacity poses challenges for deployment in critical domains. Co...
The deployment of Artificial Intelligence on edge devices (TinyML) is often constrained by the high power consumption and latency associated with trad...
IntroductionAcute myocardial infarction (AMI) remains a leading cause of mortality, with the coexistence of other conditions (i.e., multimorbidity) co...
Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). Peripheral blood lymphocyte subpopulations (PBLSs)...
Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination symptoms, termed post-COVID-19 vaccine syndrome (P...
Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-tearing an anterior cruciate ligament (ACL) using a ...
We conduct an extensive study on the state of calibration under real-world dataset shift for image classification. Our work provides important insig...
Wearable cameras are increasingly used as an observational and interventional tool for human behaviors by providing detailed visual data of hand-rel...