Latest AI and machine learning research in information technology for healthcare professionals.
Despite its growth as a clinical activity and research topic, the complex dynamic nature of advance ...
"Garbage in, garbage out" summarises well the importance of high-quality data in machine learning an...
Personalized diagnosis prediction based on electronic health records (EHR) of patients is a promisin...
This article presents a novel hardware-assisted distributed ledger-based solution for simultaneous d...
Over the past five years, interest in the literature regarding the security of the Internet of Medic...
Rare diseases (RDs) are rare complex genetic diseases affecting a conservative estimate of 300 milli...
INTRODUCTION: The 21 century has brought about significant technological advancement, allowing the c...
BACKGROUND: While many falls are preventable, they remain a leading cause of injury and death in old...
Remote monitoring and artificial intelligence will become common and intertwined in anesthesiology b...
With the recent advancement of novel biomedical technologies such as high-throughput sequencing and ...
Intelligent prediction of risk of blood transfusion among hospitalized patients can identify at-risk...
Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous...
INTRODUCTION: The move from a reactive model of care which treats conditions when they arise to a pr...
BACKGROUND: High-quality outcomes data is crucial for continued surgical quality improvement. Outcom...
The integration of artificial intelligence technologies, such as large language models (LLMs), in he...
Telemedicine has the potential to improve access and delivery of healthcare to diverse and aging pop...
Teleoperated medical technologies are a fundamental part of the healthcare system. From telemedicine...
BACKGROUND: Network latency is the most important factor affecting the performance of telemedicine. ...
Clinical risk prediction with electronic health records (EHR) using machine learning has attracted l...
BACKGROUND AND AIMS: Inadequate bowel preparation during colonoscopy is associated with decreased ad...
This work involves exploring non-invasive sensor technologies for data collection and preprocessing,...