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INTRODUCTION: Artificial Intelligence (AI) is increasingly implemented in medical imaging practice, however, its impact on radiographers practice is not well studied. The aim of this study was to explore the perceived impact of AI on radiographers' activities and profession in Switzerland. METHODS: 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. RESULTS: A total of 242 responses were collected (89% radiographers; 11% physicians). AI is being used by 43% of participants in clinical practice, but 64% of them did not feel confident with AI-terminology. Participants viewed AI as an opportunity (57%), while 19% considered it as a threat. The opportunities were associated with streamlining repetitive tasks, minimizing errors, increasing time towards patient-centered care, research, and patient safety. The significant threats identified were reduction on work positions (23%), decrease of the radiographers' expertise level due to automation bias (16%). Participants (68%) did not feel well trained/prepared to implement AI in their practice, highlighting the non-availability of specific training (88%). 93% of the participants mentioned that AI education should be included at undergraduate education program. CONCLUSION: 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.
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BACKGROUND: Autistic individuals encounter numerous barriers in accessing healthcare, including communication difficulties, sensory sensitivities, and a lack of appropriate adjustments. These issues are particularly acute during MRI scans, which involve confined spaces, loud noises, and the necessity to remain still. There remains no unified approach to preparing autistic individuals for MRI procedures. METHODS: A cross-sectional online survey was conducted with parents and carers of autistic individuals in the UK to explore their experiences, barriers, and recommendations concerning MRI scans. The survey collected demographic information and experiential accounts of previous MRI procedures. Quantitative data were analysed descriptively, while key themes were identified within the qualitative data through inductive thematic analysis. RESULTS: Sixteen parents/carers participated. The majority reported difficulties with communication, inadequate pre-scan preparation, and insufficient adjustments during MRI scans for their autistic children. Key barriers included an overwhelming sensory environment, radiographers' limited understanding of autism, and anxiety stemming from uncertainties about the procedure. Recommended improvements encompassed accessible communication, pre-visit familiarisation, noise-reduction and sensory adaptations, staff training on autism, and greater flexibility to meet individual needs. CONCLUSIONS: There is an urgent need to enhance MRI experiences for autistic individuals. This can be achieved through improved staff knowledge, effective communication strategies, thorough pre-scan preparation, and tailored reasonable adjustments. Co-producing clear MRI guidelines with the autism community could standardise sensitive practices. An individualised approach is crucial for reducing anxiety and facilitating participation. Empowering radiographers through autism-specific education and incorporating insights from autistic individuals and their families could transform MRI experiences and outcomes.
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Trastorno Autístico , Cuidadores , Niño , Humanos , Trastorno Autístico/diagnóstico por imagen , Estudios Transversales , Imagen por Resonancia Magnética , PadresRESUMEN
PURPOSE: To review eXplainable Artificial Intelligence/(XAI) methods available for medical imaging/(MI). METHOD: A scoping review was conducted following the Joanna Briggs Institute's methodology. The search was performed on Pubmed, Embase, Cinhal, Web of Science, BioRxiv, MedRxiv, and Google Scholar. Studies published in French and English after 2017 were included. Keyword combinations and descriptors related to explainability, and MI modalities were employed. Two independent reviewers screened abstracts, titles and full text, resolving differences through discussion. RESULTS: 228 studies met the criteria. XAI publications are increasing, targeting MRI (n = 73), radiography (n = 47), CT (n = 46). Lung (n = 82) and brain (n = 74) pathologies, Covid-19 (n = 48), Alzheimer's disease (n = 25), brain tumors (n = 15) are the main pathologies explained. Explanations are presented visually (n = 186), numerically (n = 67), rule-based (n = 11), textually (n = 11), and example-based (n = 6). Commonly explained tasks include classification (n = 89), prediction (n = 47), diagnosis (n = 39), detection (n = 29), segmentation (n = 13), and image quality improvement (n = 6). The most frequently provided explanations were local (78.1 %), 5.7 % were global, and 16.2 % combined both local and global approaches. Post-hoc approaches were predominantly employed. The used terminology varied, sometimes indistinctively using explainable (n = 207), interpretable (n = 187), understandable (n = 112), transparent (n = 61), reliable (n = 31), and intelligible (n = 3). CONCLUSION: The number of XAI publications in medical imaging is increasing, primarily focusing on applying XAI techniques to MRI, CT, and radiography for classifying and predicting lung and brain pathologies. Visual and numerical output formats are predominantly used. Terminology standardisation remains a challenge, as terms like "explainable" and "interpretable" are sometimes being used indistinctively. Future XAI development should consider user needs and perspectives.
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Enfermedad de Alzheimer , Neoplasias Encefálicas , Humanos , Inteligencia Artificial , Radiografía , Encéfalo/diagnóstico por imagenRESUMEN
Background: Autistic individuals might undergo a magnetic resonance imaging (MRI) examination for clinical concerns or research. Increased sensory stimulation, lack of appropriate environmental adjustments, or lack of streamlined communication in the MRI suite may pose challenges to autistic patients and render MRI scans inaccessible. This study aimed at (i) exploring the MRI scan experiences of autistic adults in the United Kingdom; (ii) identifying barriers and enablers toward successful and safe MRI examinations; (iii) assessing autistic individuals' satisfaction with MRI service; and (iv) informing future recommendations for practice improvement. Methods: We distributed an online survey to the autistic community on social media, using snowball sampling. Inclusion criteria were: being older than 16, have an autism diagnosis or self-diagnosis, self-reported capacity to consent, and having had an MRI scan in the United Kingdom. We used descriptive statistics for demographics, inferential statistics for group comparisons/correlations, and content analysis for qualitative data. Results: We received 112 responses. A total of 29.6% of the respondents reported not being sent any information before the scan. Most participants (68%) confirmed that radiographers provided detailed information on the day of the examination, but only 17.1% reported that radiographers offered some reasonable environmental adjustments. Only 23.2% of them confirmed they disclosed their autistic identity when booking MRI scanning. We found that quality of communication, physical environment, patient emotions, staff training, and confounding societal factors impacted their MRI experiences. Autistic individuals rated their overall MRI experience as neutral and reported high levels of claustrophobia (44.8%). Conclusion: This study highlighted a lack of effective communication and coordination of care, either between health care services or between patients and radiographers, and lack of reasonable adjustments as vital for more accessible and person-centered MRI scanning for autistic individuals. Enablers of successful scans included effective communication, adjusted MRI environment, scans tailored to individuals' needs/preferences, and well-trained staff.
Why is this an important issue?: Magnetic resonance imaging (MRI) is an examination that shows human anatomy and may explain the causes of symptoms. Autistic people may need MRI scans for various reasons, such as low back pain, headaches, accidents, or epilepsy. They have known sensitivities to sound, light, smell, or touch and increased anxiety, so the narrow, loud, isolating, unfamiliar MRI environment may be overwhelming to them. If MRI scans are, for these reasons, inaccessible, many autistic people will have to live with long-standing conditions, pain, or other symptoms, or have delayed treatment, with impact on their quality of life, and life expectancy. What was the purpose of this study?: We tried to understand how autistic people perceive MRI examinations, things that work, and the challenges they face. We also asked for their suggestions to improve practice and accessibility. What did we do?: We distributed an online questionnaire to autistic adults through social media. We analyzed the data using appropriate statistical and text analysis methods. What were the results of the study?: We received 112 responses. Autistic people rated their overall MRI experience as average. Nearly a third (29.6%) reported they were not sent any information before MRI, and only 17.1% reported that radiographers offered some reasonable environmental adjustments. Most participants (68%) reported that radiographers provided detailed information on the day of the scan. Only 23.2% of them disclosed their autistic identity when booking MRIs. We found that quality of communication, physical environment, patient emotions, staff training, stigma, and timely autism diagnosis impacted their MRI experiences. What do these findings add to what was already known?: Autistic people MRI scan experiences are at the heart of this project. Our project shows that MRI for common symptoms is often inaccessible by autistic people. We should improve the MRI environment, adjust communication format/content for them, and deliver person-centered care in MRI. Health care professionals should receive relevant training, to understand the challenges autistic people might face and better support them in MRI scanning. What are potential weaknesses in the study?: The pandemic has impacted participant recruitment; therefore, the results of this sample may not reflect the full impact on the wider autistic population or adequately represent the autistic community, due to small size and including only people who could consent.These results come from different centers, so there is a lot of variation in the use of MRI equipment. How will these findings help autistic adults now or in the future?: We outline the main challenges associated with MRI, so autistic adults and their families/carers understand more of what they could expect in future examinations; hopefully, researchers and scanner manufacturers will try to tackle these challenges to make MRI scans truly accessible for autistic people.We shared this knowledge with stakeholders to develop guidelines and started using it in training. We want to ensure that MRI is person-centered and more accessible for autistic patients.
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LAY ABSTRACT: Autistic patients often undergo magnetic resonance imaging examinations. Within this environment, it is usual to feel anxious and overwhelmed by noises, lights or other people. The narrow scanners, the loud noises and the long examination time can easily cause panic attacks. This review aims to identify any adaptations for autistic individuals to have a magnetic resonance imaging scan without sedation or anaesthesia. Out of 4442 articles screened, 53 more relevant were evaluated and 21 were finally included in this study. Customising communication, different techniques to improve the environment, using technology for familiarisation and distraction have been used in previous studies. The results of this study can be used to make suggestions on how to improve magnetic resonance imaging practice and the autistic patient experience. They can also be used to create training for the healthcare professionals using the magnetic resonance imaging scanners.