Search

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]

Background: The Australian population is aging, and the proportion of older Australians will continue to grow over the coming decades. However, there is a lack of research published on the specific roles and responsibilities of allied health professionals (AHPs) providing palliative care within an aged care context. Understanding the roles and needs of AHPs providing care during the last months of life in the community and aged care facilities could contribute to workforce planning, targeted information and improved care. Methods: In total, 108 eSurveys were collected between November 2019 to May 2020 from three allied health professions working in government-funded aged care; the majority of these being in residential aged care. Descriptive data are reported on the provision of care in key palliative care domains, care settings and practice activity. Results: Nearly all respondents reported they had worked with older Australians who had palliative care needs. However, over one-third of respondents reported low levels of confidence in supporting clients or residents with palliative care needs. The majority indicated they would benefit from additional education and training and support in palliative care. Conclusions: This study investigated the role of the allied health workforce in contributing to the care of older Australians at the end of life. It has also demonstrated that there are gaps in practice activity and work role that must be addressed to ensure this workforce can support older people with palliative care needs in receipt of aged care services. Allied health professionals are important members of the aged care workforce. Currently, there is limited published research on the specific roles and responsibilities of allied health professionals providing palliative care in this setting. This study identifies key aspects of their role and issues influencing palliative care practice and care at the end of life in aged care. [ABSTRACT FROM AUTHOR]