Latest AI and machine learning research in information technology for healthcare professionals.
The objective of the study was to review the obstetric outcomes of complete hydatidiform molar pre...
Heart auscultation is an inexpensive and fundamental technique to effectively diagnose cardiovascula...
The significant growth in the use of the Internet and the rapid development of network technologies ...
The current mode of use of Electronic Health Records (EHR) elicits text redundancy. Clinicians often...
PURPOSE: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness related to oxyge...
Today's IoT deployments are highly complex, heterogeneous and constantly changing. This poses severe...
The predictive Intensive Care Unit (ICU) scoring system plays an important role in ICU management fo...
Algorithmically identifying the meaningful similarities between an assortment of molecules is a crit...
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...
Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for t...
We present an interpretable machine learning algorithm called 'eARDS' for predicting ARDS in an ICU ...
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...
Federated learning (FL) is a method used for training artificial intelligence models with data from ...
Digitalization is a clear megatrend of our time, also in the health sector, which is currently exper...
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...