Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio... read more
OBJECTIVE: Detection of seizures and rhythmic or periodic patterns (SRPPs) on electroencephalography (EEG) is crucial for the diagnosis and management of patients with neurological critical illness. Although automated detection methods are advancing,... read more
Obtaining informed consent in paediatrics is an essential yet ethically complex aspect of clinical practice. Children have varying levels of autonomy and understanding based on their age and developmental maturity, with parents traditionally playing ... read more
Accurate skin disease classification is a critical yet challenging task due
to high inter-class similarity, intra-class variability, and complex lesion
textures. While deep learning-based computer-aided diagnosis (CAD) systems have
shown promise in... read more
BACKGROUND: Patient complaints provide valuable insights into the performance of health care systems, highlighting potential risks not apparent to staff. Patient complaints can drive systemic changes that enhance patient safety. However, manual categ... read more
In this paper, we propose new randomized algorithms for estimating the
two-to-infinity and one-to-two norms in a matrix-free setting, using only
matrix-vector multiplications. Our methods are based on appropriate
modifications of Hutchinson's diago... read more
BACKGROUND: The potential for generative artificial intelligence (GenAI) to assist with clinical tasks is the subject of ongoing debate within biomedical informatics and related fields. read more
Patients with cirrhosis face an elevated risk of developing sepsis, leading to an escalating mortality rate. This study focuses on the link between natural killer (NK) cells, cirrhosis, and sepsis. Our goal is to identify NK cell-related genes that c... read more
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