Abstract
Background. The study deals with the introduction of the artificial intelligence in digital radiology. There is a growing interest in this area of scientific research in acceptance and consensus studies involving both insiders and the public, based on surveys focused mainly on single professionals. Purpose. The goal of the study is to perform a contemporary investigation on the acceptance and the consensus of the three key professional figures approaching in this field of application: (1) Medical specialists in image diagnostics: the medical specialists (MS)s; (2) experts in physical imaging processes: the medical physicists (MP)s; (3) AI designers: specialists of applied sciences (SAS)s. Methods. Participants (MSs = 92: 48 males/44 females, averaged age 37.9; MPs = 91: 43 males/48 females, averaged age 36.1; SAS = 90: 47 males/43 females, averaged age 37.3) were properly recruited based on specific training. An electronic survey was designed and submitted to the participants with a wide range questions starting from the training and background up to the different applications of the AI and the environment of application. Results. The results show that generally, the three professionals show (a) a high degree of encouraging agreement on the introduction of AI both in imaging and in non-imaging applications using both standalone applications and/or mHealth/eHealth, and (b) a different consent on AI use depending on the training background. Conclusions. The study highlights the usefulness of focusing on both the three key professionals and the usefulness of the investigation schemes facing a wide range of issues. The study also suggests the importance of different methods of administration to improve the adhesion and the need to continue these investigations both with federated and specific initiatives.
Highlights
Artificial Intelligence and Digital RadiologyThe standardization of digital radiology caused important changes in the field of organ and functional diagnostics
Three elements play an important role: (1) the physical process (PP), which depends on the physical fields used (X-rays, magnetic field, ultrasound, etc.); (2) the technological process (TP), which concerns both the technologies for capturing information starting from the physical process, and the software implementation of AI-based algorithms; (3) the decision-making process (DP), which must consider the outcome from the TP based on a PP and the human decision based on medical knowledge functionally related to both the TP
If we look at the study proposed on a direct application of AI [50] in its entirety, we realize that regarding the enhancement of AI, the study we have proposed is in a complementary position
Summary
The standardization of digital radiology caused important changes in the field of organ and functional diagnostics. This regards both the diagnostics and the interventional radiology [1,2]. It has led to exceptional changes in the organization of work and reporting processes It pushed the digitization and computerization [3,4]. The goal of the study is to perform a contemporary investigation on the acceptance and the consensus of the three key professional figures approaching in this field of application: (1) Medical specialists in image diagnostics: the medical specialists (MS)s; (2) experts in physical imaging processes: the medical physicists (MP)s; (3) AI designers: specialists of applied sciences (SAS)s.
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