Latest AI and machine learning research in health policy for healthcare professionals.
The effectiveness of Direct Preference Optimization (DPO) depends on preference data that reflect th...
This study evaluates the feasibility of implementing artificial intelligence (AI)-driven disease sur...
ObjectivesTo develop and evaluate predictive models for unused outpatient appointments (missed or ca...
Clinical decision-making often involves selecting tests that are costly, invasive, or time-consuming...
Remote sensing understanding inherently requires multi-resolution observation, since different targe...
Classifier-free Guidance (CFG) lets practitioners trade-off fidelity against diversity in Diffusion ...
Extending LLM context windows is hindered by scarce high-quality long-context data. Recent methods s...
Multimodal reasoning models (MRMs) trained with reinforcement learning with verifiable rewards (RLVR...
Reinforcement-Learning-based post-training has recently emerged as a promising paradigm for aligning...
World action models (WAMs) have emerged as a promising direction for robot policy learning, as they ...
Deploying large multimodal language models at scale is constrained by token-based inference costs, y...
Recently, world-action models (WAM) have emerged to bridge vision-language-action (VLA) models and w...
Background: Oral health remains inadequately integrated within the Ayushman Bharat Digital Mission (...
Abstract Background: Cardiovascular disease is the leading cause of mortality in Nigeria and across ...
Large Language Models achieve impressive accuracy on medical benchmarks that present clinical inform...
Self-forcing video generation extends a short-horizon video model to longer rollouts by repeatedly f...
Vision-language agents that orchestrate specialized tools for image restoration (IR) have emerged as...
Purpose: Evaluate large language models (LLMs) for scoring medical student essays, and compare vario...
Autoregressive (AR) models are highly effective for image generation, yet their standard maximum-lik...
Vision-Language Model (VLM)-based image quality assessment (IQA) has been significantly advanced by ...
Protecting patient privacy remains a fundamental barrier to scaling machine learning across healthca...