Latest AI and machine learning research in information technology for healthcare professionals.
Rapid technological development has changed drastically the automotive industry. Network communicati...
BACKGROUND: Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to...
With the rapid development of electronic medical records (EMRs), most existing medicine recommendati...
Modern artificial intelligence techniques have solved some previously intractable problems and produ...
This paper introduces an integrated IoT architecture to handle the problem of cyber attacks based on...
Federated learning (FL) is an emerging subdomain of machine learning (ML) in a distributed and heter...
We introduce a set of input models for fusing information from ensembles of wearable sensors support...
BACKGROUND: Alzheimer's disease (AD) is a highly heterogeneous disease with diverse trajectories and...
With clinical trials unable to detect all potential adverse reactions to drugs and medical devices p...
Accurately recording a patient's medical conditions in an EHR system is the basis of effectively doc...
Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that produces non-reversi...
PURPOSE: While demand for telemedicine is increasing, patients are currently restricted to tele-cons...
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast communi...
BACKGROUND: The Mortality Probability Model (MPM) is used in research and quality improvement to adj...
BACKGROUND: There are significant variabilities in guideline-concordant documentation in asthma care...
BACKGROUND: Invaluable information on patient functioning and the complex interactions that define i...
Industry 4.0 is envisioned to transform the entire economical ecosystem by the inclusion of new para...
BACKGROUND: Disease prediction based on electronic health records (EHRs) is essential for personaliz...
IMPORTANCE: Detecting cognitive decline earlier among older adults can facilitate enrollment in clin...
OBJECTIVE: To predict risk of pre-eclampsia (PE) in women using machine learning (ML) algorithms, ba...
Minimally invasive techniques have been at the forefront of surgical progress, and the evolution of ...