Latest AI and machine learning research in surveillance for healthcare professionals.
Artificial intelligence (AI) has emerged as a promising tool to detect early dysplasia in Barrett's ...
BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health informatio...
BACKGROUND AND OBJECTIVE: Manual data extraction is a major bottleneck in uro-oncology, limiting res...
Bladder cancer carries one of the highest lifetime costs among malignancies, and accurate distinctio...
PURPOSE: To develop the REporting checklist for FoundatIon and large laNguagE models (REFINE), an in...
BACKGROUND: Artificial intelligence (AI)-enabled wearable devices are rapidly emerging in rehabilita...
Background Gastric intestinal metaplasia (GIM) is a well-established precancerous lesion and key bio...
Pancreatic neuroendocrine tumors (PanNETs) are increasingly diagnosed, reflecting greater clinical a...
BACKGROUND: Developments in artificial neural networks (ANNs) offer significant promise for cancer s...
OBJECTIVE: Insidiousness is a hallmark of metachronous liver metastasis. Owing to the absence of a c...
Data mining is the systematic process of extracting useful knowledge from large multimodal datasets ...
Respiratory diseases are increasingly influenced by meteorological variability, yet few studies have...
Large language models (LLMs) show potential in clinical reporting, yet current multimodal systems re...
Timely access to reliable public health data is a critical determinant of effective response to heal...
INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimod...
The globally distributed zoonotic protozoan parasite Toxoplasma gondii presents escalating conservat...
BACKGROUND: Underreporting of seizures, particularly focal onset impaired awareness seizures (FIAS),...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have shown immense potential in c...
BACKGROUND: To compare the quality and clinical usefulness of large language model (LLM)-generated l...
BACKGROUND: Accurate esophageal cancer staging relies on 18F fluorodeoxyglucose positron emission to...
BACKGROUND: Traditional cognitive screening relies on episodic clinical assessments and may miss ear...