Latest AI and machine learning research in health policy for healthcare professionals.
Background: Colon capsule endoscopy (CCE) has been proposed as a non-invasive alternative to colonos...
Objective: Stigmatizing language in the electronic health record (EHR) has been associated with adve...
Background: The biomedical literature is expanding at an unprecedented rate, with over 4,000 new art...
Background: Non-communicable diseases (NCDs) represent a critical public health challenge in Kenya, ...
Aligning a few-step generative model is challenging, since existing alignment frameworks typically r...
Testing object detectors in safety-critical domains requires semantically meaningful probes beyond p...
Diffusion Transformer (DiT) has emerged as a powerful model architecture for generating high-quality...
Objectives: AI-based reconstructions can reduce MRI acquisition times and/or improve image quality. ...
Though currently a minor crop, faba bean is a promising source of plant-based protein as global diet...
Diffusion models have been widely studied for removing unsafe content learned during pre-training. E...
The rapid growth of online video platforms and AI-generated content has made reliable video guardrai...
Large vision-language models (LVLMs) often hallucinate when language priors dominate weak or ambiguo...
Sepsis management in the ICU requires sequential treatment decisions under rapidly evolving patient ...
Modern low-field magnetic resonance imaging (MRI) technology offers a compelling alternative to stan...
RLHF is widely used to align flow-matching text-to-image models with human preferences, but often le...
Introduction: Adolescents with mental health disorders represent a vulnerable group with complex car...
Uncertainty estimation is important for deploying LLMs in high-stakes applications such as healthcar...
Objective: We surveyed 524 healthcare professionals (HCPs) in the United States and United Kingdom t...
Caesarean section rates in Nigeria remain suboptimal, with significant disparities across socioecono...
SAM2 produces high-quality zero-shot segmentation on natural images, but applying it to large remote...
Protecting sensitive health data while enabling collaborative analysis is a central challenge in hea...