Latest AI and machine learning research in information technology for healthcare professionals.
Artificial intelligence (AI) refers to the performance of tasks by machines ordinarily associated wi...
BACKGROUND: The penicillin adverse drug reaction (ADR) label is common in electronic health records ...
BACKGROUND: Interpretations of the electrocardiogram (ECG) are often prepared using software outside...
With vast interest in machine learning applications, more investigators are proposing to assemble la...
The combination of machine learning (ML) and electronic health records (EHR) data may be able to imp...
We present an interpretable machine learning algorithm called 'eARDS' for predicting ARDS in an ICU ...
Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for t...
PURPOSE: Non-melanoma skin cancer (NMSC) is the most frequent keratinocyte-origin skin tumor. It is ...
BACKGROUND: Electronic health record (EHR) data is commonly used for secondary purposes such as rese...
Digitalization is a clear megatrend of our time, also in the health sector, which is currently exper...
Federated learning (FL) is a method used for training artificial intelligence models with data from ...
Network intrusion detection remains one of the major challenges in cybersecurity. In recent years, m...
The spread of COVID-19 worldwide continues despite multidimensional efforts to curtail its spread an...
Soil-transmitted helminths (STH) are the most prevalent pathogens among the group of neglected tropi...
BACKGROUND AND OBJECTIVE: Chronic cough (CC) affects approximately 10% of adults. Many disease state...
OBJECTIVES: We survey recent work in biomedical NLP on building more adaptable or generalizable mode...
Electronic health records (EHRs) are characterized as nonstationary, heterogeneous, noisy, and spars...
The study aims to explore the application of international classification of diseases (ICD) coding t...
The simultaneous growth of robotic-assisted surgery and telemedicine in recent years has only been a...
This article presents the hardware-software design and implementation of an open, integrated, and sc...
Non-used clinical information has negative implications on healthcare quality. Clinicians pay priori...