Latest AI and machine learning research in clinical trials for healthcare professionals.
The visual modality of vision-language models (VLMs) is an underexplored attack surface for bypassin...
Precision medicine requires understanding the underlying drivers of heterogeneous treatment response...
Randomized controlled trials (RCTs) provide high internal validity but often rely on restrictive eli...
The rapid rise of large language models (LLMs) and foundation models has accelerated efforts to buil...
As Large Language Model (LLM) agents transition from single-session tools to persistent systems mana...
We present a novel sequential multiple assignment randomized trial (SMART) design that integrates re...
Background: Identification of metastasis status in non-small cell lung cancer (NSCLC) is a critical ...
Safety-critical prediction systems, such as autonomous vehicles, weather forecasters, and medical mo...
Deploying accurate object detection for Vulnerable Road User (VRU) safety on edge hardware requires ...
Background. Large language models (LLMs) are increasingly used by clinicians to generate executable ...
Standardized patients (SPs) are central to clinical communication training but are constrained by co...
Typographic prompt injection exploits vision language models' (VLMs) ability to read text rendered i...
Real-world evidence (RWE) studies that emulate target trials increasingly inform regulatory and clin...
Anxiety is usually gauged by self-report, yet a single symptom level can reflect disparate neural ci...
Background: Prognostication after moderate-to-severe traumatic brain injury (TBI) rarely captures lo...
The application of Deep Learning in medical diagnosis must balance patient safety with compliance wi...
Noisy labels are a pervasive challenge in medical image classification, where annotation errors aris...
Tuberculosis (TB) is prevalent in Uganda and overlaps with a high rate of HIV/TB coinfection. While ...
Purpose: Accurate assessment of the Critical View of Safety (CVS) during laparoscopic cholecystectom...
MedSafe-Dx (v0), introduces a new safety-focused benchmark for evaluating large language models in c...
Background: Current medical large language model (LLM) evaluations largely rely on small collections...