The goal of this study is to gain insight into the level of trust of women in the Netherlands, in the decisions made by radiologists with the support of different applications of Artificial Intelligence (AI), in the Breast Cancer Screening Programme. Gaining insight into your level of trust in the decisions made by radiologists and AI regarding whether you have breast cancer or not, is of high importance, as this will help to anticipate which steps can be taken by hospitals and software developers, in the near future. The survey consists of 10 introductory questions and 42 statements and takes approximately 10 minutes to complete
BACKGROUND: Artificial intelligence (AI) may improve cancer detection and risk prediction during mam...
This research will be written to build a model that can be used to determine which AI technology is ...
Objective : Although artificial intelligence (AI) has demonstrated promise in enhancing breast cance...
OBJECTIVE: To investigate the general population's view on the use of artificial intelligence (AI) f...
Objective: Mammographic screening for breast cancer is an early use case for artificial intelligence...
Purpose: To explore Norwegian breast radiologists’ expectations of adding artificial intelligence (A...
Objective: Although breast cancer screening can benefit from Artificial Intelligence (AI), it is sti...
Introduction Artifi cial intelligence (AI) algorithms for interpreting mammograms have the potential ...
Introduction Artifi cial intelligence (AI) algorithms for interpreting mammograms have the potential ...
International audienceThe objective of this article was to evaluate the evidence currently available...
Various factors are driving interest in the application of artificial intelligence (AI) for breast c...
Screening mammography aims to identify breast cancer at earlier stages of the disease, when treatmen...
Artificial intelligence (AI) could have the potential to accurately classify mammograms according to...
Background: Artificial intelligence (AI) has been proposed to reduce false-positive screens, increas...
Background Artificial intelligence (AI) has shown promising results for cancer detection with mammog...
BACKGROUND: Artificial intelligence (AI) may improve cancer detection and risk prediction during mam...
This research will be written to build a model that can be used to determine which AI technology is ...
Objective : Although artificial intelligence (AI) has demonstrated promise in enhancing breast cance...
OBJECTIVE: To investigate the general population's view on the use of artificial intelligence (AI) f...
Objective: Mammographic screening for breast cancer is an early use case for artificial intelligence...
Purpose: To explore Norwegian breast radiologists’ expectations of adding artificial intelligence (A...
Objective: Although breast cancer screening can benefit from Artificial Intelligence (AI), it is sti...
Introduction Artifi cial intelligence (AI) algorithms for interpreting mammograms have the potential ...
Introduction Artifi cial intelligence (AI) algorithms for interpreting mammograms have the potential ...
International audienceThe objective of this article was to evaluate the evidence currently available...
Various factors are driving interest in the application of artificial intelligence (AI) for breast c...
Screening mammography aims to identify breast cancer at earlier stages of the disease, when treatmen...
Artificial intelligence (AI) could have the potential to accurately classify mammograms according to...
Background: Artificial intelligence (AI) has been proposed to reduce false-positive screens, increas...
Background Artificial intelligence (AI) has shown promising results for cancer detection with mammog...
BACKGROUND: Artificial intelligence (AI) may improve cancer detection and risk prediction during mam...
This research will be written to build a model that can be used to determine which AI technology is ...
Objective : Although artificial intelligence (AI) has demonstrated promise in enhancing breast cance...