Acute respiratory distress syndrome (ARDS) is characterised by acute hypoxaemic
respiratory failure with bilateral infiltrates on chest imaging, which is not fully explained by …

Introduction In order to fulfill the enormous potential of digital health in the healthcare sector,
digital health must become an integrated part of medical education. We aimed to investigate …

AI-based prediction models demonstrate equal or surpassing performance compared to
experienced physicians in various research settings. However, only a few have made it into …

There is a growing gap between studies describing the capabilities of artificial intelligence
(AI) diagnostic systems using deep learning versus efforts to investigate how or when to …

The use of artificial intelligence (AI) has grown dramatically in the past few years in the
United States and worldwide, with more than 300 AI-enabled devices approved by the US …

Artificial intelligence (AI) applied to pediatric chest radiographs are yet scarce. This study
evaluated whether AI-based software developed for adult chest radiographs can be used for …

Objectives To externally validate the performance of a commercial AI software program for
interpreting CXRs in a large, consecutive, real-world cohort from primary healthcare centres …

Artificial intelligence (AI) was a new interdiscipline of computer technology, mathematic,
cybernetics and determinism. These years, AI had obtained a significant development by the …

Background To develop and validate classifier models that could be used to identify patients
with a high percentage of potentially recruitable lung from readily available clinical data and …

This statement from the European Society of Thoracic imaging (ESTI) explains and
summarises the essentials for understanding and implementing Artificial intelligence (AI) in …