Purpose: This paper focuses on how the implementation of artificial intelligence algorithms (AI) challenges and changes the existing communication practice in radiology seen from a psychological communicative and clinical radiologist's perspective. Method: Based on thematic literature search across radiology, management, and information system technology research of AI implementation and robotics, we applied social- and cognitive psychological concepts in order to analyse and interpret these potential communication challenges that the introduction of AI potentially imposes. Results and discussion: We found that scepticism towards AI implementation is a well-documented reaction among medical professionals in general. We related this sceptici...
Objectives The patients’ view on the implementation of artificial intelligence (AI) in radiology is ...
ABSTRACT Background: Artificial Intelligence (AI) technologies have already started impacting clini...
Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development o...
Purpose: We aimed to systematically analyse how the radiology community discusses the concept of art...
Objectives: We investigated the attitudes of radiologists, information technology (IT) specialists, ...
Purpose: To report the results of a nationwide online survey on artificial intelligence (AI) among r...
Artificial intelligence is having important developments in the world of digital radiology also than...
The aim of the paper is to find an answer to the question “Who or what is responsible for the benefi...
Introduction: With the emergence of artificial intelligence (AI) in medical imaging, radiographers a...
Objective: Radiology has been at the forefront of medical technology including the use of artificial...
abstract: Rapid advancements in Artificial Intelligence (AI), Machine Learning, and Deep Learning te...
We report the results of a survey conducted among ESR members in November and December 2018, asking ...
Simple Summary Artificial Intelligence (AI) has been increasingly used in radiology to improve diagn...
Objectives The patients’ view on the implementation of artificial intelligence (AI) in radiology is ...
ABSTRACT Background: Artificial Intelligence (AI) technologies have already started impacting clini...
Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development o...
Purpose: We aimed to systematically analyse how the radiology community discusses the concept of art...
Objectives: We investigated the attitudes of radiologists, information technology (IT) specialists, ...
Purpose: To report the results of a nationwide online survey on artificial intelligence (AI) among r...
Artificial intelligence is having important developments in the world of digital radiology also than...
The aim of the paper is to find an answer to the question “Who or what is responsible for the benefi...
Introduction: With the emergence of artificial intelligence (AI) in medical imaging, radiographers a...
Objective: Radiology has been at the forefront of medical technology including the use of artificial...
abstract: Rapid advancements in Artificial Intelligence (AI), Machine Learning, and Deep Learning te...
We report the results of a survey conducted among ESR members in November and December 2018, asking ...
Simple Summary Artificial Intelligence (AI) has been increasingly used in radiology to improve diagn...
Objectives The patients’ view on the implementation of artificial intelligence (AI) in radiology is ...
ABSTRACT Background: Artificial Intelligence (AI) technologies have already started impacting clini...
Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development o...