Latest AI and machine learning research in surveillance for healthcare professionals.
Patient dose estimation in x-ray-guided interventions is essential to prevent radiation-induced biol...
Nowadays, global public health crises are occurring more frequently, and accurate prediction of thes...
BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency departme...
PURPOSE: Gastric cancer (GC) ranks as the 7th most common cancer worldwide and a leading cause of ca...
PURPOSE: Inpatient mortality is an important variable in epidemiology studies using claims data. In ...
In the past decade, machine learning techniques have seen wide industrial applications for design of...
BACKGROUND : Reliable documentation is essential for maintaining quality standards in endoscopy; how...
Radiology has been a pioneer in adopting artificial intelligence (AI)-enabled devices into the clini...
This review discusses the use of artificial intelligence (AI) algorithms in noninvasive prediction o...
INTRODUCTION: Concerns have been raised over the quality of drug safety information, particularly da...
Artificial intelligence (AI) has been making a significant impact on cardiovascular imaging, transfo...
Throughout the pandemic era, COVID-19 was one of the remarkable unexpected situations over the past ...
In this article we study the effect of a baseline exposure on a terminal time-to-event outcome eithe...
Structured reporting may improve the radiological workflow and communication among physicians. Artif...
BACKGROUND: Fatal drug overdose surveillance informs prevention but is often delayed because of auto...
Machine learning (ML) models are being actively used in modern medicine, including neurosurgery. Thi...
The value of informal sources in increasing the timeliness of disease outbreak detection and providi...
BACKGROUND: The study aims to evaluate the performance of three advanced machine learning algorithms...
Standardized and thorough model reporting is an integral component in the development and deployment...
PURPOSE: Artificial intelligence (AI) is rapidly reshaping how radiology is practiced. Its susceptib...
BACKGROUND: Artificial intelligence (AI) applied to cardiac imaging may provide improved processing,...