Intelligent Agents International Acceptance
One of the most promising areas of health innovation is the application of Artificial Intelligence (AI), primarily in medical imaging. Diagnosis of breast cancer disease requires the combination of many types of data, including patient and family histories, and imaging results. Clinical Decision Support Systems (CDSSes) must be able to combine these data types into a seamless system. Intelligent agents, an approach that has been used chiefly in other domain applications, provides a structure that can combine, not only data types, but also a variety of reasoning methodologies in the same decision support system. Clinicians are included as an agent in the system and can interact directly with any of the components. However, intelligent agents are raising concerns about adoption, efficacy, and acceptance which we are trying to study through this international anonymous survey.

The purpose of this questionnaire is to understand how world-wide clinical professionals perceive and potentially use AI systems, such as intelligent agents, and learn about their expectations, experience, and also performance concerns. The study takes place within the scope of BreastScreening (breastscreening.github.io) and MIMBCD-UI (mimbcd-ui.github.io) research work by Francisco Calisto at both Institute for Systems and Robotics (welcome.isr.tecnico.ulisboa.pt) and Interactive Technologies Institute (iti.larsys.pt), under the scientific coordination of Prof. Jacinto Nascimento and Prof. Nuno Nunes. The study involves an international collaboration network of partner institutions: Instituto Superior Técnico, University of Adelaide and University of Queensland.

The study complies with the provisions of the General Data Protection Regulation [Regulation (EU) 2016/279 of the European Parliament and of the Council of 27 April 2016], and follows the recommendations of the Declaration of Helsinki for research. There are no risks and benefits associated with your participation. Your participation is completely voluntary; you can give up at any time and without having to provide any justification, just "leave" without completing the tasks. In this case, the data will not be recorded.

The study is anonymous, with no identifying data collected, and it is not possible to identify you by your answers. The data will only be accessible to authorized researchers and will only be used for scientific research purposes.

For any additional information, you can contact ISR-Lisboa and ITI / LARSyS, through the following email:

francisco.calisto@tecnico.ulisboa.pt
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By accepting and continuing, you confirm that you have been duly informed about the study, that you understand the information that has been transmitted to you and that you agree to participate in it.
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