Latest AI and machine learning research in information technology for healthcare professionals.
The temporal complexity of electronic health record (EHR) data presents significant challenges for...
Blood cultures are often over ordered without clear justification, straining healthcare resources ...
Adverse Drug Events (ADEs), harmful medication effects, pose significant healthcare challenges, im...
Background: The HERMES Kiosk (Healthcare Enhanced Recommendations through Artificial Intelligence ...
The management of chronic heart failure presents significant challenges in modern healthcare, requ...
Advances in wearable sensors and artificial intelligence have greatly enhanced the potential of digi...
Hospital-acquired infections (HAIs) significantly burden global healthcare systems, exacerbated by a...
INTRODUCTION: Optimal use of HIV testing resources accelerates progress towards ending HIV as a glob...
Objective: Electronic health records (EHR) are widely available to complement administrative data-...
Reasoning before action and imagining potential outcomes (i.e., world models) are essential for em...
Electronic Health Records (EHR) have become a valuable resource for a wide range of predictive tas...
High hospital readmission rates are associated with significant costs and health risks for patient...
This paper introduces a novel framework that combines traditional centrality measures with eigenva...
The exponential expansion of real-time data streams across multiple domains needs the development ...
Background Telemedicine has the potential to provide secure and cost-effective healthcare at the t...
Introduced in the early 2010s, Electronic Health Records (EHRs) have become ubiquitous in hospital...
Large Vision-Language Models (LVLMs) are increasingly being explored for applications in telemedic...
The progress of artificial intelligence (AI) has made sophisticated methods available for cyberatt...
A significant and rising proportion of the global population suffer from non-communicable diseases...
Background: Clinical natural language processing (NLP) refers to the use of computational methods ...
Our study of 20 knowledge workers revealed a common challenge: the difficulty of synthesizing unst...