Latest AI and machine learning research in surveys for healthcare professionals.
Dilution refrigerators are the enabling infrastructure of superconducting quantum computers, yet the...
Vision-language models (VLMs) have made interactive digital museums increasingly feasible by connect...
Streaming 3D reconstruction relies on a compact recurrent scene state to process long image streams ...
Background: The hyperplasia and dysplasia stage (pre-cancer) offers a viable opportunity to reduce t...
Counterfactual explanations (CEs) for multivariate time-series classifiers are often difficult to in...
Vision-Language Models (VLMs) are increasingly applied in medical tasks such as pathology descriptio...
Mixture-of-Experts (MoE) models offer inference speedups via selective activation but impose substan...
Codon usage bias is a fundamental genomic characteristic that prefers non-random preferential use of...
Multimodal Large Language Models (MLLMs) incur prohibitive inference costs due to long visual token ...
Electrocardiographic (ECG) interval measurements underpin clinical decision-making and large-scale c...
Deep learning models have advanced de novo peptide sequencing, but their predictions may reflect bot...
Conformal prediction guarantees marginal coverage, but pooled calibration averages over heterogeneou...
Multimodal large language models (MLLMs) are increasingly expected to generate fine-grained descript...
Diagnosed diabetes affects approximately 38.4 million Americans, but its burden is not evenly distri...
In industrial environments, new product categories arrive sequentially, requiring continual anomaly ...
Standard benchmarks for multimodal large language models (MLLMs) score each item on one canonical or...
Background: Generative artificial intelligence (GenAI) tools, including large language model (LLM)-b...
Deep learning-based medical image segmentation models are trained using annotations that exhibit sys...
Purpose: Prior authorization (PA) for exome or genome sequencing is a time-consuming process that im...
Background: Children and young people (CYP) are particularly affected by mental health problems. Mob...
Imperfectly supervised video polyp segmentation (VPS) aims to learn dense, temporally consistent mas...