Maternal Health
In the framework of the COVID-19 pandemic, Digital Health, expressed as the convergence of scientific knowledge, technological development and artificial intelligence,
In the framework of the COVID-19 pandemic, Digital Health, expressed as the convergence of scientific knowledge, technological development and artificial intelligence,
Researchers in genomics showed the findings of an automated virtual system for the diagnosis of genetic diseases in 13.5 hours. Genetic diseases are always
Researchers at the Johns Hopkins University School of Medicine implemented a machine learning system to optimize hospital admission decisions by
Thanks to the data collected by the Electronic Health Records (ECE), it is possible to improve the medical care of mothers and their babies. One of the
A study published in SAGE Journals carried out technology-based interventions with the aim of improving adherence to antihypertensive medications. Due to the
Nueva investigación mostró modelos de riesgo basados en aprendizaje automático que indican signos vitales, resultados exámenes de laboratorio y edad como factores asociados con casos
Scientists at the University of Utah developed an Artificial Intelligence (AI) model that could predict the development and complications of patients with cardiovascular problems.
The Government of Peru reported that people infected with COVID-19, who do not present symptoms, will receive care and monitoring through telehealth. Due to the
Una nueva estrategia de Ministerio de Salud (Minsal), propone el uso de tecnologías para brindar atención a pacientes de edad avanzada, desde la atención primaria
Mayo Clinic study showed that an Artificial Intelligence (AI) algorithm based on electrocardiograms (ECG) can predict long-term survival of patients