Latest AI and machine learning research in us health policy for healthcare professionals.
Extending LLM context windows is hindered by scarce high-quality long-context data. Recent methods s...
The present study evaluates the real-world clinical predictive performance of FDA-authorized artific...
Background High body mass index (BMI) presents a serious and ongoing global health challenge. Howeve...
Fraud in the health landscape is an aggravating issue, with far-reaching consequences burdening the ...
Antimicrobial resistance (AMR) threatens antibiotic effectiveness, but quantitatively evaluating ste...
The medial prefrontal cortex integrates information about salience and valence of stimuli, including...
Hospital artificial intelligence (AI) and robotics are spreading unevenly across the United States, ...
Individualized decision rules (IDRs) have become increasingly prevalent in societal applications suc...
Platelets expire within five days. Blood banks face uncertain daily demand and must balance ordering...
Background Clinicians in care management programs are often in low supply relative to patient demand...
Introduction Improving the efficiency and accuracy of annotation and extraction of performance data ...
Vision-Language-Action (VLA) models leverage pretrained Vision-Language Models (VLMs) as backbones t...
Background and Aims: Choledocholithiasis (CDL) is a common condition that can lead to serious compli...
Background: Nursing documentation patterns may reflect patient acuity and clinical deterioration, ye...
This study centers around the design and implementation of the Maya Robot, a portable elephant-shape...
Artificial intelligence allows automatic extraction of imaging biomarkers from already-acquired radi...
Randomized controlled trials estimate average treatment effects, but treatment response heterogeneit...
Reinforcement learning from human feedback (RLHF) shows promise for aligning diffusion and flow mode...
Klebsiella pneumoniae is a major causative agent of hospital-acquired infections worldwide, contribu...
Background: Many patients with triple-negative breast cancer (TNBC), particularly those who are olde...
Autoregressive sequence modeling stands as the cornerstone of modern Generative AI, powering results...