Latest AI and machine learning research in surveillance for healthcare professionals.
BackgroundHealthcare institutions throughout the world rely on medical devices to provide their serv...
BackgroundAnalysis of data from incident registries such as MAUDE has identified the need to improve...
IntroductionTraumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, w...
Artificial intelligence (AI) and microbiome have emerged in recent years as transformative fields wi...
The integration of Artificial Intelligence (AI) and Intelligent Learning Models (ILMs) in healthcare...
Brain metastases (BMs) in extensive-stage small cell lung cancer (ES-SCLC) are often associated with...
BACKGROUND: Social networking services (SNS) closely reflect the lives of individuals in modern soci...
As climate warming exacerbates wildfire risks, prompt wildfire detection is an essential step in des...
In this narrative review, we review the applications of artificial intelligence (AI) into clinical m...
Specifying and interpreting the occurrence of emerging pollutants is essential for assessing treatme...
Whole genome sequencing (WGS) potentially represents a rapid approach for antimicrobial resistance g...
Accurate image interpretation is essential in the field of radiology to the healthcare team in order...
In causal inference, parametric models are usually employed to address causal questions estimating t...
OBJECTIVE: Active adverse event surveillance monitors Adverse Drug Events (ADE) from different data ...
There are few analyses comparing complete nephrectomy with resection of the renal parenchyma only (C...
PURPOSE: In Taiwan, the incidence of urothelial carcinoma of the upper urinary tract (UTUC) is high ...
Large language models like ChatGPT, with their growing accessibility, are attracting increasing inte...
This study aimed to construct and assess a machine-learning algorithm designed to forecast survival ...
Reporting of diagnostic nuclear images in clinical cancer management is generally qualitative. Thera...
PURPOSE: To critically examine the current state of machine learning (ML) models including patient-r...
Emerging and evolving Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) lineages, adapted...