Data-driven testing program improved detection of COVID-19 and reduced community transmission
Study published in Nature analyzed a COVID-19 testing program based on data and machine learning; was implemented in a university with results
Study published in Nature analyzed a COVID-19 testing program based on data and machine learning; was implemented in a university with results
Physicians often present challenges when taking clinical notes in patient encounters, which is why there are currently various technologies for taking
A recent study from the Indiana University Regenstrief Institute showed the application of machine learning models to predict the probability of hospitalization due to
La Organización Mundial de la Salud (OMS), recientemente publicó un informe titulado “Edadismo en inteligencia artificial para la salud”, que pide acciones para garantizar que
Hearst Health formó una alianza con el Center for SMART Health de la Universidad de California, Los Ángeles (UCLA), para ofrecer premio en Ciencia de
A team of scientific researchers from the University of California Santa Barbara (UC Santa Barbara), developed a detection system based on a mobile application and
Investigadoras del MIT y del Hospital General de Massachusetts (MGH), proponen el uso de aprendizaje automático e Inteligencia Artificial (IA), para mejorar el acceso a
Researchers at Duke University created an Artificial Intelligence (AI) platform that would be capable of detecting and analyzing lesions in mammography images. Their
Scientists at the University of Utah developed an Artificial Intelligence (AI) model that could predict the development and complications of patients with cardiovascular problems.
El procesamiento de lenguaje natural (NLP, en inglés), puede utilizarse para estructurar datos y mejorar el cuidado de pacientes, la investigación y el diagnóstico de