Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
With the continuous expansion of global investment institutions, the development of the investment i...
Natural language processing (NLP) is a set of automated methods to organise and evaluate the informa...
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing...
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing...
The judgment service rate is an important index to reflect the fairness of the judgment of legal cas...
It was to explore the application value of health cloud service platform based on data mining algori...
Background Patients with fractures are a common emergency presentation and may be misdiagnosed at ra...
Endoscopic endonasal skull base surgery is a promising alternative to transcranial approaches. Howev...
With the rapid development of communication technology, digital technology has been widely used in a...
Artificial intelligence (AI)-based tools are gradually blending into the clinical neuroradiology pra...
Alpha-terpineol (α-TOH) is a promising monoterpenoid detaining several biological activities. Howeve...
To detect comprehensive clues and provide more accurate forecasting in the early stage of financial ...
The growth and adoption of artificial intelligence has led to impressive results in urology. As arti...
Background Advances in computer processing and improvements in data availability have led to the dev...
This study aimed to identify the effect of using adaptive AI-enabled e-learning on developing digita...
A number of Artificial Intelligence (AI) ethics frameworks have been published in the last 6 years i...
PURPOSE: Our purposes were (1) to explore the methodologic quality of the studies on the deep learni...
There has been an exponential rise in artificial intelligence (AI) research in imaging in recent yea...
INTRODUCTION: Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve ...
Adversarial attacks are considered a potentially serious security threat for machine learning system...
This editorial aims to contribute to the current debate about the quality of studies that apply mach...