Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …

Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice
and research. The exponential rise in technology powered by AI is defining new frontiers in …

Artificial intelligence (AI) in medicine is an increasingly studied and widespread
phenomenon, applied in multiple clinical settings. Alongside its many potential advantages …

Introduction Since the beginning of the COVID-19 pandemic, numerous machine and deep
learning (MDL) methods have been proposed in the literature to analyze patient …

Objectives COVID-19 pandemic seems to be under control. However, despite the vaccines,
5 to 10% of the patients with mild disease develop moderate to critical forms with potential …

Transferring and replicating predictive algorithms across healthcare systems constitutes a
unique yet crucial challenge that needs to be addressed to enable the widespread adoption …

Significant progress has been made in augmenting clinical decision-making using artificial
intelligence (AI) in the context of secondary and tertiary care at large academic medical …

In the article by Judy Wawira Gichoya and colleagues, 1 the authors found that artificial
intelligence (AI) systems can be trained to determine a person's self-reported race based on …

Abstract Machine learning algorithms are being increasingly used in healthcare settings but
their generalizability between different regions is still unknown. This study aims to identify …

Objetivos. Faltan herramientas para identificar a los pacientes con COVID-19 moderado o
leve. El objetivo de este estudio fue identificar variables asociadas a la evolución no …