Latest AI and machine learning research in work force for healthcare professionals.
The spread of fake news about healthcare can result in a global health crisis, as it is easy to mislead the public. Detection of fake Arabic news in the healthcare sector is crucial for identifying disinformation, especially in regions where Arabic is the predominant language. Various deep learning and machine learning methods have been proposed to categorize false Arabic news related to healthcar...
The World Transplant Congress 2025 showcased pivotal advances shaping the future of transplantation. Global efforts to expand access to transplantation accelerated on multiple fronts. Machine perfusion has progressed from an experimental approach to an emerging clinical standard: the Central Preservation and Assessment Service to Optimize Donor Kidney Allocation trial confirmed its value in rescui...
As healthcare accelerates into an era defined by artificial intelligence, precision medicine, and advanced technologies, nursing leadership faces a cr...
Burnout among healthcare workers in Canada remains a critical challenge with implications for workforce retention, patient safety, and system sustaina...
BACKGROUND: Carpal tunnel syndrome (CTS) is a prevalent neuropathy in hand surgery that significantly affects people's quality of life. Frequently, pa...
Recognition of protospacer adjacent motifs (PAMs) is crucial for target site recognition by CRISPR-Cas systems. In genome editing applications, the re...
In-person motor and cognitive assessments for Parkinson's disease(PD) face accessibility, scalability, and geographical diversity challenges. We aimed...
Masked Autoencoders (MAEs) have grown increasingly prominent as a powerful self-supervised learning paradigm. They are capable of effectively leveragi...
Nurses have expressed a growing interest in artificial intelligence (AI), but automation tools remain underutilized to address key challenges like nur...
Cervical spondylosis is one of the most common degenerative diseases, seriously affecting life quality. Unlike diseases with explicit lesions like can...
Healthcare is undergoing rapid digital transformation, with artificial intelligence (AI), automated documentation, and predictive analytics now integr...
With European Union initiatives mandating gender quotas on corporate boards, a key question arises: Is greater board gender diversity (BGD) associated...
The quantitative relationship between chemical composition, crystal structure and functional properties in materials with complex distortions has rema...
Reported instances of AI-assisted, blanket denials of coverage have increased in recent years, particularly for Medicare Advantage plans, resulting in...
Urban trees are attracting increasing interest due to their contribution to mitigating some negative urbanization effects. Indeed, trees provide numer...
INTRODUCTION: Fragment-based drug discovery (FBDD) employs the Grow-Merge-Link (GML) model to identify therapeutic compounds through a combination of ...
STUDY DESIGN: Retrospective two-center external validation study conducted at two medical centers, collecting cervical spine MRI data from patients su...
BACKGROUND AND AIMS: Liver fibrosis poses a major health threat globally, with an acute shortage of effective treatments to stop or reverse its progre...
BACKGROUND: The HIV epidemic in the United States disproportionately impacts gay, bisexual, and other men who have sex with men (MSM). Despite the eff...
Limited experimental data remains a key challenge in applying machine learning to drug discovery, particularly for cancer-related targets. In this stu...