The results of a large survey from a diverse patient population revealed cautious support for artificial intelligence (AI) implementation in screening mammography, according to a study published today in Radiology: Imaging Cancer, a journal of the Radiological Society of North America (RSNA). Personal medical history and sociodemographic factors influenced respondent's level of trust in AI.
While the diagnostic accuracy of AI systems has drastically improved in recent years, there is still a lack of widespread adoption and acceptance of this technology for a variety of reasons, such as concerns with data privacy, algorithmic bias or even level of knowledge of AI.
One opinion that is frequently overlooked in the conversation surrounding the growth of AI in radiology is that of the patient.
