Latest AI and machine learning research in risk management for healthcare professionals.
Criteria to identify patients who are ready to be liberated from mechanical ventilation (MV) are imp...
Human activity recognition (HAR), driven by machine learning techniques, offer the detection of dive...
INTRODUCTION: Diagnosing pulmonary tuberculosis (PTB) in children is challenging owing to paucibacil...
BACKGROUND: Artificial intelligence (AI) has the potential to improve health care delivery through e...
[This corrects the article DOI: 10.2196/48210.].
BackgroundWork accidents have been studied from the perspective of outcome indicators, quantifying t...
Healthcare organisations (HCOs) must prepare for large-scale implementation of artificial intelligen...
The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and eth...
Neurophysiological recordings and histological examinations, along with behavioral observations, are...
The reproducibility and robustness of many directed differentiation protocols from human induced plu...
PURPOSE: Spinal navigation systems require pre- and/or intra-operative 3-D imaging, which expose you...
Minimally Invasive Surgery (MIS) has experienced a significant evolution over the last 5,000 years, ...
The success of deep learning in computer vision over the past decade has hinged on large labeled dat...
To prevent vulnerabilities and ensure app security, smart contract vulnerability detection identifie...
INTRODUCTION: Adverse prognostic events (APE) of neurosyphilis include ongoing syphilitic meningitis...
INTRODUCTION: Predictive scoring systems support clinicians in decision-making by estimating the pro...
One of the most significant challenges of vehicular ad-hoc networks (VANETs) is establishing reliabl...
INTRODUCTION: Although artificial intelligence (AI) has been widely applied to electronic health rec...
INTRODUCTION: Endovascular aortic aneurysm repair (EVAR) requires long-term surveillance to detect a...
BACKGROUND: Nursing in palliative medicine combines primary patient care with the special challenges...
INTRODUCTION: Marginalised populations-such as racialised groups, low-income individuals, newcomers ...