Engaging with artificial intelligence in mammography screening: Swedish breast radiologists' views on trust, information and expertise.

ABSTRACT:

Objectives

Lack of trust and transparency is stressed as a challenge for clinical implementation of artificial intelligence (AI). In breast cancer screening, AI-supported reading shows promising results but more research is needed on how medical experts, which are facing the integration of AI into their work, reason about trust and information needs. From a sociotechnical information practice perspective, we add to this knowledge by a Swedish case study. This study aims to: (1) clarify Swedish breast radiologists' views on trust, information and expertise pertaining to AI in mammography screening and (2) analytically address ideas about medical professionals' critical engagement with AI and motivations for trust in AI.

Method

An online survey was distributed to Swedish breas

SUBMITTER: Hogberg C 

PROVIDER: S-EPMC11459539 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature