Latest AI and machine learning research in clinical trials for healthcare professionals.
BackgroundPredicting whether a treatment will demonstrate meaningful clinical benefit before committ...
Large Reasoning Models (LRMs) have demonstrated strong capabilities in generating step-by-step reaso...
Background Randomized controlled trials (RCTs) often have incomplete methods reporting despite wides...
Inadequate discharge communication is a well-documented contributor to medication non-adherence, mis...
The benefits of interventions targeting cognitive aging vary substantially across individuals, large...
Clinical research involves labor-intensive processes such as study design, cohort construction, mode...
Target trial emulation (TTE) enables causal inference from observational data but remains bottleneck...
Multimodal Large Language Models (MLLMs) have been shown to be vulnerable to malicious queries that ...
In real-world deployments, Vision-Language Large Models (VLLMs) face critical challenges from multil...
Ask a frontier model how to taper six milligrams of alprazolam (psychiatrist retired, ten days of pi...
Diffusion-based image generation models have advanced rapidly but pose a safety risk due to their po...
Background: Safety is a critical concern in behavioral health crisis units (BHCUs), where environmen...
Randomized controlled trials often do not represent the populations where decisions are made, and co...
Modern recruitment platforms operate under severe information imbalance: job seekers must search ove...
Text-to-image generative models are widely deployed in creative tools and online platforms. To mitig...
Controlling the behavior of text-to-image generative models is critical for safe and practical deplo...
Accurate prediction of drug-target binding affinity across multiple pharmacological endpoints remain...
Background Narcolepsy is a rare, lifelong neurological disorder that often begins in childhood or ad...
Background: Large Language Models (LLMs) have demonstrated expert-level performance across many medi...
Object detectors deployed in safety-critical environments can fail silently, e.g. missing pedestrian...
The widespread adoption of CT has notably increased the number of detected lung nodules. However, cu...