Latest AI and machine learning research in health policy for healthcare professionals.
Introduction: Adolescents with mental health disorders represent a vulnerable group with complex care needs, yet their and their relatives experiences in acute inpatient mental health services remain poorly understood. While patient-reported experience measures (PREMs) are increasingly recognized as essential for improving healthcare quality, validated instruments for child and adolescent mental h...
Uncertainty estimation is important for deploying LLMs in high-stakes applications such as healthcare and finance, where hallucinations can appear fluent and plausible while being factually incorrect, making it difficult for users to judge whether an output should be trusted. Existing methods require one or more full autoregressive generations to estimate uncertainty, which introduces substantial ...
Objective: We surveyed 524 healthcare professionals (HCPs) in the United States and United Kingdom to examine workplace generative AI use, access, and...
Caesarean section rates in Nigeria remain suboptimal, with significant disparities across socioeconomic and geographic strata. The objective of this r...
SAM2 produces high-quality zero-shot segmentation on natural images, but applying it to large remote sensing scenes exposes two problems: (1) its mask...
Protecting sensitive health data while enabling collaborative analysis is a central challenge in healthcare. Traditional machine learning (ML) require...
Policy optimization in high-dimensional continuous control for robotics remains a challenging problem. Predominant methods are inherently local and of...
RLVR and OPD have become standard paradigms for post-training. We provide a unified analysis of these two paradigms in consolidating multiple expert c...
Face Recognition (FR) is used in a variety of application domains, from entertainment and banking to security and surveillance. Such applications rely...
Patient portals now give individuals direct access to their electronic health records (EHRs), yet access alone does not ensure patients understand or ...
Touchless interaction with medical images is becoming increasingly important in the surgical field, where sterility and continuity of the operational ...
Cardiotoxicity remains a major cause of drug attrition and post-market withdrawal, yet the vast majority of environmental chemicals to which humans ma...
Background: Mechanical ventricular unloading and systemic circulatory support with left ventricular assist devices (LVADs) enable myocardial recovery ...
Low-cost FPGA platforms can broaden access to neuromorphic systems research, but current spiking neural network (SNN) workflows remain divided between...
Background: Chronic conditions such as hypertension can significantly disrupt daily life and emotional wellbeing. The interaction between patients' pe...
Background Depressive symptoms among reproductive-aged women represent a major public health concern in low- and middle-income countries, yet systemat...
Geographic context is often consider relevant to motor insurance risk, yet public actuarial datasets provide limited location identifiers, constrainin...
Daily infrastructure management in preparation for disasters is critical for urban resilience. When bridges remain resilient against disaster-induced ...
Clinical research involves labor-intensive processes such as study design, cohort construction, model development, and documentation, requiring domain...
The effectiveness of Direct Preference Optimization (DPO) depends on preference data that reflect the quality differences that matter in multimodal ta...