Background: The worldwide prevalence of obesity has reached an epidemic level and has presented a significant burden to public health infrastructure. There is a critical need for novel predictive inst

Background: The rapid integration of AI into workplaces highlights the need to understand employee attitudes influencing acceptance and use, yet multidimensional comparisons between technical and non-

The global healthcare system is going through a big evolution in technological innovation. These evolvements include the integration of artificial intelligence (AI) into the pharmaceutical sector. The

Patient recruitment and retention remain persistent challenges in oncology clinical trials, often leading to delays, increased costs and compromised data validity. Traditional recruitment strategies f

Background: Artificial intelligence (AI) in surgery has evolved significantly improving surgeon’s cognitive capabilities. Natural Language Processing (NLP), Machine Learning (ML) and Computer Vision (

Artificial Intelligence (AI) is transforming healthcare, particularly in stroke diagnosis, management, and rehabilitation. Stroke, a leading cause of mortality and disability, requires rapid intervent

Background: Bioinformatics is a scientific sub-discipline that covers the area of biology at multi-disciplinary levels of microbiology, immunology, molecular biology, biochemistry, genetics, proteomic

Background: Placenta accreta spectrum (PAS) is a life-threatening obstetric complication, and increasing prevalence of this condition underscores the importance of correct and prompt diagnosis to maxi

Background: Prostate cancer is still a primary cause of male cancer morbidity and mortality. Multiparametric MRI (mpMRI), based on PI-RADS interpretation, has become invaluable in the diagnosis of cli