Latest AI and machine learning research in clinical trials for healthcare professionals.
Immune-related adverse events (irAEs) affect up to 40% of patients receiving immune checkpoint inhib...
Background: Sepsis remains a leading cause of preventable hospital mortality in England, with NHS En...
Artificial intelligence (AI), particularly large language models (LLMs), is increasingly explored in...
Accurate rejection of sensitive or harmful visual content, i.e., harmful image guardrail, is critica...
Large vision-language models (LVLMs) have achieved remarkable progress in vision-language reasoning ...
Medical oncology education faces a dual crisis: knowledge velocity that outpaces static curricula an...
Background Clinicians in care management programs are often in low supply relative to patient demand...
Introduction: Deep learning-based segmentation models are increasingly integrated into clinical imag...
Text-to-Image (T2I) diffusion models have demonstrated significant advancements in generating high-q...
Flow-based generative models, such as diffusion models and flow matching models, have achieved remar...
Background: Diagnostic errors are a leading cause of preventable patient harm, often occurring durin...
Text-to-Image (T2I) diffusion models have demonstrated significant advancements in generating high-q...
Standard Test-Time Adaptation (TTA) methods typically treat inference as a blind optimization task, ...
Background: EHR documentation and chart review contribute to clinician workload and burnout. To alle...
Objective: Electronic Health Record (EHR)-based trial emulation can support translation of randomize...
Antisense oligonucleotides (ASOs) are a promising class of therapeutic agents capable of selectively...
Safety is a fundamental challenge in reinforcement learning (RL), particularly in real-world applica...
Background: Large language models show promise for clinical decision support, yet their propensity f...
Autism Spectrum Disorder (ASD) is a heterogenous condition that has no biologically relevant subtype...
The geometric congruence problem is a fundamental building block in many computer vision and image r...
Large Language Models (LLMs) encode extensive medical knowledge but struggle to apply it reliably to...