Latest AI and machine learning research in risk management for healthcare professionals.
Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to respiratory depression. A tool that enables early detection of respiratory compromise could not only enhance patient safety during procedural sedation, but also reduce the risk of medical liability. In this study, we aimed to develop a machine learning model that integrates detailed body composition...
Despite substantial advances in engineering, robotics, and artificial intelligence, autonomous robots have yet to revolutionize neurosurgery. In this perspective, we examine why neurosurgical robotics lag behind, analyzing economic, regulatory, liability, and cultural hurdles limiting their adoption. Drawing on our collective experience using robotics across different neurosurgical subspecialties,...
Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) st...
The Internet of Vehicles (IoV) is crucial in facilitating secure and efficient vehicle-infrastructure communication. Nevertheless, with an increasing ...
Enumerating virus particles (VPs) at different stages of the wastewater treatment process or along the distribution network is essential for ensuring ...
The rapid advancement of the 5G technology is catalyzing a paradigm shift in the realm of remote surgery, offering the potential to overcome geographi...
Postmortem neuropathological examination, while the gold standard for diagnosing neurodegenerative diseases, often relies on limited regional sampling...
Ensuring healthy aging and extending health span is critical, particularly in aging societies. This study analyzed patterns of risk for long-term care...
Early screening, diagnosis, and treatment of lung cancer are pivotal in clinical practice since the tumor stage remains the most dominant factor that ...
BACKGROUND: Research on LGBTQ+ parent families is evolving to include a growing range of family systems, identities, methodologies, and topics. Howeve...
INTRODUCTION: Physical activity (PA) is crucial for older adults' well-being and mitigating health risks. Encouraging active lifestyles requires a dee...
Motor activity alterations are key symptoms of psychiatric disorders like schizophrenia. Actigraphy, a non-invasive monitoring method, shows promise i...
Cortico-cortical evoked potentials (CCEPs) are an active electrophysiological technique used during intracranial electroencephalography to evaluate th...
BACKGROUND: Insomnia, a common mental health issue, is characterized by brain hyperarousal and difficulties in transitioning between sleep stages. Pha...
Psychotherapy and antidepressant medications are first-line treatments for depression, and they both have significant treatment effects on average. H...
This paper presents the D-type distributed iterative learning control protocol to synchronize fractional-order competitive neural networks with time d...
α-Glucosidase is a key enzyme responsible for controlling the blood glucose, making a pivotal target in the treatment of type 2 diabetes mellitus. Pre...
Chemical signatures encode the physicochemical and structural properties of small molecules into numerical descriptors, forming the basis for chemical...
Coronary CT angiography (CCTA) has seen steady progress since its inception, becoming a key player in the non-invasive assessment of coronary artery d...
Digital twin (DT) technology, integrated with artificial intelligence (AI) and machine learning (ML), holds significant potential to transform oncolo...