The Impact of Cultural Dimensions of Clinicians on the Adoption of Artificial Intelligence in Healthcare.

Introduction: Healthcare is probably the last frontier that Artificial Intelligence (AI) has not conquered. Cultural factors significantly impact the way healthcare is accessed and delivered. Affordability, educational and social status, physician training, lack of physician talent in difficult to serve areas all contribute to this.

Comparing a deep learning model's diagnostic performance to that of radiologists to detect Covid -19 features on chest radiographs.

Background: Whether the sensitivity of Deep Learning (DL) models to screen chest radiographs (CXR) for CoVID-19 can approximate that of radiologists, so that they can be adopted and used if real-time review of CXRs by radiologists is not possible, has not been explored before.

Objective: To evaluate the diagnostic performance of a doctor-trained DL model (Svita_DL8) to screen for COVID-19 on CXR, and to compare the performance of the DL model with that of expert radiologists.

Materials And Methods: We used a pre-trained convolutional neural network to develop a publicly available online DL model to evaluate CXR examinations saved in .