Global warming stands as a paramount public health issue of our time, and it is fundamental to explore approaches to green medical imaging departments/(MID). This study aims to map the existing actions in the literature that promote sustainable development in MID towards the promotion of environmental impact reduction. Following the JBI methodology and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR), this literature search was conducted on MEDLINE, Embase and CINAHL to encompass studies published after 2013. Combinations of keywords and relevant terms related to environmental sustainability, recycling, medical waste, and greening radiology were applied for this review. Three independent reviewers screened abstracts, titles, and eligible full-text. Disagreement was solved through consensus. 38 out of 4630 articles met all inclusion criteria, and four additional articles were identified and added through reference search. A third of the studies included were published after 2022, and most were conducted in developed countries (36/41). Articles focused on computed tomography (9/41), magnetic resonance imaging (6/41), interventional radiology (4/41), conventional radiography (4/41), ultrasound (2/41), mixed modalities (10/41), or not applicable to an imaging modality (6/41). Four principal categories were identified to decrease ecological footprint: energy consumption, waste management, justification and environmental pollution. To minimise the environmental impact of MIDs raising awareness and promoting education is fundamental. Examinations must be justified adequately, energy consumption must be reduced, and waste management practices need to be implemented. Further studies are required to prioritise the most effective strategies, supporting decision-making among stakeholders. Several strategies are already possible to implement to reduce the environmental impact of MIDs and improve the healthcare outcomes for patients.

Osteoporotic vertebral fractures (OVFs) are often not reported by radiologists on routine chest radiographs. This study aims to investigate the clinical value of a newly developed artificial intelligence (AI) tool, Ofeye 1.0, for automated detection of OVFs on lateral chest radiographs in post-menopausal women (>60 years) who were referred to undergo chest x-rays for other reasons. A total of 510 de-identified lateral chest radiographs from three clinical sites were retrieved and analysed using the Ofeye 1.0 tool. These images were then reviewed by a consultant radiologist with findings serving as the reference standard for determining the diagnostic performance of the AI tool for the detection of OVFs. Of all the original radiologist reports, missed OVFs were found in 28.8% of images but were detected using the AI tool. The AI tool demonstrated high specificity of 92.8% (95% CI: 89.6, 95.2%), moderate accuracy of 80.3% (95% CI: 76.3, 80.4%), positive predictive value (PPV) of 73.7% (95% CI: 65.2, 80.8%), and negative predictive value (NPV) of 81.5% (95% CI: 79, 83.8%), but low sensitivity of 49% (95% CI: 40.7, 57.3%). The AI tool showed improved sensitivity compared with the original radiologist reports, which was 20.8% (95% CI: 14.5, 28.4). The new AI tool can be used as a complementary tool in routine diagnostic reports for the reduction in missed OVFs in elderly women.

Magnetic resonance imaging (MRI) has limited capacity to visualise cortical bone due to its low proton density and short decay time. Recently developed ultrashort (UTE) and zero-echo time (ZTE) sequences enable bone imaging without ionising radiation. This study aims to identify the key technical parameters, advantages, and limitations of UTE and ZTE for musculoskeletal (MSK) imaging. JBI methodology was applied, and three databases (MEDLINE, EMBASE and CINAHL) were selected to identify articles published after 2005 (French-English). Keywordsand MeSH terms related to UTE, ZTE, MRI and MSK were used. Two independent reviewers screened titles, abstracts, and full texts. Disagreements were solved through consensus. From 671 articles, 18 met all criteria. UTE and ZTE were applied for spine (6/18), lower limb (4/18), head and neck (4/18), general bone (3/18) and shoulder (1/18) investigations. Eight articles suggest a very short repetition time (TR) (0.425-8 ms), three longer TR (100-1075 ms), six did not mention TR. All articles mentioned very short echo time (TE) (0.00-0.34 ms). Acquisition time ranged from 3 to 12 min. UTE and ZTE are based on radial acquisition, allowing to acquire the cortical bone signal and increasing fracture contrast, comparable to CT-scan. Acquisition time was the main disadvantage. UTE and ZTE sequences are promising for the MSK applications, offering good contrast for cortical bone evaluation. Further studies are necessary to assess the possibilities of AI tools as approaches to improve image quality and reduce acquisition time. UTE and ZTE sequences can be added to MSK MRI exams to improve fracture and cortical bone evaluation, allowing radiation-free imaging. ZTE's lower acoustic noise benefits anxious, paediatric, or dementia patients' MRI experience.

The aim of this study was to explore the perceived impact of artificial intelligence (AI) on radiographers’ activities and profession in Switzerland. A survey conducted in the UK, translated into French and German, was disseminated through professional bodies and social media. The participants were Swiss radiographers (clinical/educators/ researchers/students) and physicians working within the medical imaging profession (radiology/nuclear medicine/radiation-oncology). The survey covered five sections: demographics, AI-knowledge, skills, confidence, perceptions about the AI impact. Descriptive, association statistics and qualitative thematic analysis were conducted. A total of 242 responses were collected (89% radiographers; 11% physicians). AI is being used by 43% of participants in clinical practice, but 63.8% of them did not feel confident with AI terminology. Participants viewed AI as an opportunity (57.2%), while 18.5% considered it as a threat. The opportunities were associated with streamlining repetitive tasks, minimizing errors, increasing time towards patient-centred care, research, and patient safety. The significant threats identified were reduction on work positions (22.6%), decrease of the radiographers’ expertise level due to automation bias (16.4%). Participants (68.3%) did not feel well trained/prepared to implement AI in their practice, highlighting the non-availability of specific training (87.6%). 93% of the participants mentioned that AI education should be included at undergraduate education program. Although most participants perceive AI as an opportunity, this study identified areas for improvement including lack of knowledge, educational supports/training, and confidence in radiographers. Customised training needs to be implemented to improve clinical practice and understanding of how AI can benefit radiographers.

Radiographers' profession is constantly evolving, which demands adaptation of education and training programs to build up medical imaging and radiation therapy professionals (MIRTPs) that provide healthcare to improve patient experience and outcomes. This study aimed to map radiographers' practices, competences, and autonomy level in Western Switzerland. Data was collected by 2 cross-sectional online surveys targeting Alumni, radiographers, clinical placement tutors and medical imaging equipment specialists from industry, with opened and closed-end questions. Descriptive statistics and thematic analysis were used to analyse the data. 81 Alumni and 93 Chief-Radiographers, clinical tutors, practitioner-radiographers and industry answered the questionnaires. The competences considered as the most "acquired or completely acquired" by the Alumni were: adopt a reflective posture on practice (90.1 %; 73/81), adopt ethical behaviour (90.1 %; 73/81), carrying out and providing radiological services for diagnostic, therapeutic and preventive purposes (81.5 %; 68/81), adapting communication to the other surrounding persons (81.5 %; 66/81), and check compliance of procedures with standards (69.1 %; 56/81). Similar results were referred by Employers. The autonomy of the participant radiographers was considered as average, and it focuses only the preparation of the patient and the protocol optimisation. The development and integration of research is weak as well as the application of competences regarding professionalism. A better link between educational institutions and clinical practice can help on the integration of research and evidence-based on practice, necessary to progress the radiographers' profession in Western Switzerland. The autonomy needs to be further developed and leadership courses must be integrated in the curricula to facilitate the implementation of new approaches to reinforce radiographer's profession. Practice must be revised to integrate evidence-based; to facilitate research development, the managers need to increase support.