Risk scores are used to make more informed clinical decisions, and the implementation of machine learning is useful for the identification of
A new study published in Nature Communications used multimodal deep learning to assess dementia stemming from Alzheimer's disease. Annually 10 million
A recent study shows the evaluation of an Artificial Intelligence model capable of predicting different clinical risks in different hospitals in real time. Recently the
Research published in Science shows new findings on neuroanatomical variation in autism, which were achieved thanks to the use of machine learning. The
Substance abuse is prevalent in hospital environments and derives from various behavioral conditions, it is also a difficult problem to identify comprehensively
Researchers at the University of Florida Health (UFHealth) have developed a machine learning model that can help identify and predict complications in surgical interventions.
Artificial Intelligence (AI) models and machine learning have the potential to extract and harness insights in clinical data from
An Artificial Intelligence (AI) model was tested to estimate the gestational age of fetuses, with the aim of using the technology in environments with
Study published in The Lancet, showed a method for the identification of long-term COVID-19 patients through machine learning and data
SALUD DIGITAL EN LA CIENCIA Reseña de Publicaciones Científicas Reseñas destacadas: Se publica en NPJ Digital Medicine un cuadro de mando innovador para validar las
