Latest AI and machine learning research in medicare for healthcare professionals.
The validity screen (Cacioli, 2026d, 2026e) classifies LLM confidence signals as Valid, Indeterminat...
Detailed image captioning demands both factual grounding and fine-grained coverage, yet existing met...
Computed tomography (CT) enterography is a primary imaging modality for assessing inflammatory bowel...
Background: Limited data utilization in low-resource settings poses a barrier to the vaccine deliver...
Small longitudinal clinical cohorts, common in maternal health, rare diseases, and early-phase trial...
Computer-use agents hold the promise of assisting in a wide range of digital economic activities. Ho...
Autonomous highway driving, especially for long-haul heavy trucks, requires detecting objects at lon...
Objective: Behavioral and social factors (BSFs) substantially influence the risk, onset, and progres...
Face morphing attacks compromise biometric security by creating document images that verify against ...
Predicting whether someone with mild cognitive impairment (MCI) will progress to Alzheimer's disease...
Contrastive learning produces coherent semantic feature embeddings by encouraging positive samples t...
Uncertainty quantification is essential for deploying machine learning models in high-stakes domains...
Simulation-based methods such as approximate Bayesian computation (ABC) are widely used to infer the...
Existing Multimodal Large Language Models (MLLMs) often suffer from hallucinations in long video und...
Generating images conditioned on multiple visual references is critical for real-world applications ...
Radiance fields have emerged as powerful tools for 3D scene reconstruction. However, casual capture ...
Protecting patient privacy remains a fundamental barrier to scaling machine learning across healthca...
Fraud in the health landscape is an aggravating issue, with far-reaching consequences burdening the ...
Large language models (LLMs) facilitate the development of autonomous agents. As a core component of...
Large language models (LLMs) facilitate the development of autonomous agents. As a core component of...
The clinical deployment of AI diagnostic models demands more than benchmark accuracy - it demands ro...