Latest AI and machine learning research in surveys for healthcare professionals.
Introduction Clinicians and patients are likely to increasingly use Large Language Models (LLMs) for...
Background Generative artificial intelligence (GenAI) in healthcare may reduce administrative burden...
The rapid advancement of Vision-Language models (VLMs) has raised growing concerns that their black-...
Background: Intrinsic capacity (IC) is a key marker of healthy ageing, which captures an individuals...
Quantifying biological aging is crucial for understanding functional decline before the onset of mor...
Distributed denial-of-service (DDoS) attacks threaten the availability of Internet of Things (IoT) i...
Labeling bias arises during data collection due to resource limitations or unconscious bias, leading...
Introduction: Supervised statistical learning for cell-level segmentation and morphometry in optical...
Accurately predicting chemotherapy response remains a major challenge in precision oncology. Althoug...
This study investigates the impact of regularization of latent spaces through truncation on the qual...
Time-series imputation benchmarks employ uniform random masking and shape-agnostic metrics (MSE, RMS...
Depression is a heterogeneous disorder, often diagnosed based on symptom co-occurrence. However, ind...
Large Language Models (LLMs) are increasingly integrated into financial workflows, but evaluation pr...
Background: Large language models (LLMs) are increasingly piloted as chat interfaces for chart revie...
Vision-Language Models (VLMs) are known to inherit and amplify societal biases from their web-scale ...
Epidemiologists have access to various methods to reduce bias and improve statistical efficiency in ...
Background: Generating synthetic data using artificial intelligence, such as large language models (...
Compressing long chains of thought (CoT) into compact latent tokens is crucial for efficient reasoni...
Video-based human movement analysis holds potential for movement assessment in clinical practice and...
Large Language Models (LLMs) demonstrate strong performance at medical specialty board multiple-choi...
Medical image classification is a core task in computer-aided diagnosis (CAD), playing a pivotal rol...