Latest AI and machine learning research in risk management for healthcare professionals.
ABSTRACT Objectives: To determine whether heterogeneous treatment effects (HTE) explain the inconclu...
Purpose: To demonstrate the feasibility of prostate MRI at low-field and provide an optimised low-fi...
Large language models are increasingly deployed in clinical decision-support contexts, yet systemati...
Recent image editing models have achieved strong visual fidelity but often struggle with tasks requi...
Introduction Despite the proven benefits of reperfusion therapies in acute ischemic stroke, treatmen...
Sepsis is a leading cause of in-hospital mortality, yet systematically evaluating temporal adherence...
Tuberculosis (TB) is prevalent in Uganda and overlaps with a high rate of HIV/TB coinfection. While ...
Recent text-to-image (T2I) models have demonstrated impressive capabilities in photorealistic synthe...
Low-Resolution License Plate Recognition (LRLPR) remains a challenging problem in real-world surveil...
Handwritten Arabic manuscripts preserve the Arab world's intellectual and cultural heritage, and wri...
Geographic context is often consider relevant to motor insurance risk, yet public actuarial datasets...
The evaluation of visual editing models remains fragmented across methods and modalities. Existing b...
With the rapid advancement of deep generative models, realistic fake images have become increasingly...
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...
Engineering small-molecule binding proteins de novo remains a significant challenge as even advanced...
Clinical research involves labor-intensive processes such as study design, cohort construction, mode...
The effectiveness of Direct Preference Optimization (DPO) depends on preference data that reflect th...
Target trial emulation (TTE) enables causal inference from observational data but remains bottleneck...
Reliable recognition of standard cine cardiac MRI views is essential because each view determines wh...
Vision--language models (VLMs) for radiology report generation (RRG) can produce long-form chest CT ...