Objective: The year 2020 was predominated by the coronavirus disease 2019 (COVID-19)
pandemic. The objective of this article is to review the areas in which clinical information …

The purpose of this article is to introduce artificial intelligence (AI), machine learning (ML),
and related technologies to neurosurgeons, to review their current status, and to comment …

Electronic medical records are increasingly used to store patient information in hospitals and
other clinical settings. There has been a corresponding proliferation of clinical natural …

Background: Despite the increasing availability of clinical decision support systems (CDSSs)
and rising expectation for CDSSs based on artificial intelligence (AI), little is known about the …

Pneumonia is one of the serious and life-threatening diseases that is caused by a bacterial
or viral infection of the lungs and have the potential to result in severe consequences within …

The success of artificial intelligence depends on whether it can penetrate the boundaries of
evidence-based medicine, the lack of policies, and the resistance of medical professionals …

Objectives Clinical artificial intelligence (AI) is a novel technology, and few economic
evaluations have focused on it to date. Before its wider implementation, it is important to …

Prevention and treatment of complications are the backbone of medical care, particularly in
critical care settings. Early detection and prompt intervention can potentially prevent …

Abstract Background The use of Electronic Health Records is the most important milestone
in the digitization and intelligence of the entire medical industry. AI can effectively mine the …

Background Electronic patient record (EPR) technology is a key enabler for improvements to
healthcare service and management. To ensure these improvements and the means to …