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Objectives: This study explored the familiarity, perceptions and confidence of Australian radiology clinicians involved in reading screening mammograms, regarding artificial intelligence (AI) applications in breast cancer detection. Methods: Sixty-five radiologists, breast physicians and radiology trainees participated in an online survey that consisted of 23 multiple choice questions asking about their experience and familiarity with AI products. Furthermore, the survey asked about their confidence in using AI outputs and their preference for AI modes applied in a breast screening context. Participants' responses to questions were compared using Pearson's χ 2 test. Bonferroni-adjusted significance tests were used for pairwise comparisons. Results: Fifty-five percent of respondents had experience with AI in their workplaces, with automatic density measurement powered by machine learning being the most familiar AI product (69.4%). The top AI outputs with the highest ranks of perceived confidence were 'Displaying suspicious areas on mammograms with the percentage of cancer possibility' (67.8%) and 'Automatic mammogram classification (normal, benign, cancer, uncertain)' (64.6%). Radiology and breast physicians preferred using AI as second-reader mode (75.4% saying 'somewhat happy' to 'extremely happy') over triage (47.7%), pre-screening and first-reader modes (both with 26.2%) (P < 0.001). Conclusion: The majority of screen readers expressed increased confidence in utilising AI for highlighting suspicious areas on mammograms and for automatically classifying mammograms. They considered AI as an optimal second-reader mode being the most ideal use in a screening program. The findings provide valuable insights into the familiarities and expectations of radiologists and breast clinicians for the AI products that can enhance the effectiveness of the breast cancer screening programs, benefitting both healthcare professionals and patients alike. What is known about the topic? Artificial intelligence (AI) holds promise in providing computer-aided detection in health care, however, current research suggests that standalone AI applications in clinical practice fall short of matching the accuracy of a single radiologist. What does this paper add? The study showed a significant preference among clinicians for using AI as a supplementary tool, serving as a second-reader. Such an integrated approach, where AI aids in flagging suspicious areas on mammograms or offers automatic classification, reflects the ideal cooperation between breast screening readers and AI systems. What are the implications for practitioners? These insights shed light on clinicians' familiarity with and expectations of AI tools that can boost the effectiveness of breast screening programs. [ABSTRACT FROM AUTHOR]

Objective. This paper describes the effects of a maternity consumer representative training program on participants' confidence to fulfil this role and engagement in representative activities. Methods. The present study was a descriptive, pre-post evaluation design with a 3-month follow-up. Fifty-eight people completed the program and 55 agreed to participate in the evaluation. Participants completed questionnaires to assess confidence to undertake consumer representative roles and reported on their engagement with consumer activities. Results. Participants' perceived confidence to function in the role of consumer representative differed significantly before and after the workshop (F(2,18) = 7.057, P < 0.001), as did confidence in decision making (F (2,16) = 7.615, P = 0.005), confidence in negotiating outcomes and liaising with key people (F(2,18) = 7.154, P = 0.005), and confidence in making use of relevant networks (F (2,18) = 4.319, P = 0.029). There was a decline in confidence at 3 months, with confidence at this time no longer significantly different from that at the time of recruitment. Engagement with consumer organisations increased by 45% compared with rates at commencement of the project. Conclusions. The program enhanced participants' confidence to fulfil a maternity consumer representative role but was not sustained. Further research is needed as to how to best support maternity consumer representatives and assess their contribution to promoting woman-centred care. [ABSTRACT FROM AUTHOR]