AIMC Topic: Surveys and Questionnaires
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Diagnostic radiology and its future: what do clinicians need and think?
European radiology
Jul 12, 2023
OBJECTIVE: To investigate the view of clinicians on diagnostic radiology and its future.
Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review.
Journal of biomedical informatics
Jun 22, 2023
BACKGROUND: As the application of Artificial Intelligence (AI) technologies increases in the healthcare sector, the industry faces a need to combine medical knowledge, often expressed as clinical rules, with advances in machine learning (ML), which o...
Identify novel elements of knowledge with word embedding.
PloS one
Jun 20, 2023
As novelty is a core value in science, a reliable approach to measuring the novelty of scientific documents is critical. Previous novelty measures however had a few limitations. First, the majority of previous measures are based on recombinant novelt...
Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis.
Journal of medical Internet research
Jun 14, 2023
BACKGROUND: ChatGPT (Chat Generative Pre-trained Transformer) has gained popularity for its ability to generate human-like responses. It is essential to note that overreliance or blind trust in ChatGPT, especially in high-stakes decision-making conte...
How do patients perceive the AI-radiologists interaction? Results of a survey on 2119 responders.
European journal of radiology
Jun 8, 2023
PURPOSE: In this study we investigate how patients perceive the interaction between artificial intelligence (AI) and radiologists by designing a survey.
Home monitoring with connected mobile devices for asthma attack prediction with machine learning.
Scientific data
Jun 8, 2023
Monitoring asthma is essential for self-management. However, traditional monitoring methods require high levels of active engagement, and some patients may find this tedious. Passive monitoring with mobile-health devices, especially when combined wit...
Self-helped detection of obstructive sleep apnea based on automated facial recognition and machine learning.
Sleep & breathing = Schlaf & Atmung
Jun 6, 2023
PURPOSE: The diagnosis of obstructive sleep apnea (OSA) relies on time-consuming and complicated procedures which are not always readily available and may delay diagnosis. With the widespread use of artificial intelligence, we presumed that the combi...
On the importance of patient acceptance for medical robotic imaging.
International journal of computer assisted radiology and surgery
May 29, 2023
PURPOSE: Mutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot-patient interactions. However, the medical robotic imaging field lacks research in the area of acceptance. This work...
Identifying the Influencing Factors of Depressive Symptoms among Nurses in China by Machine Learning: A Multicentre Cross-Sectional Study.
Journal of nursing management
May 15, 2023
BACKGROUND: Nurses' high workload can result in depressive symptoms. However, the research has underexplored the internal and external variables, such as organisational support, career identity, and burnout, which may predict depressive symptoms amon...
Artificial intelligence in medical device software and high-risk medical devices - a review of definitions, expert recommendations and regulatory initiatives.
Expert review of medical devices
May 8, 2023
INTRODUCTION: Artificial intelligence (AI) encompasses a wide range of algorithms with risks when used to support decisions about diagnosis or treatment, so professional and regulatory bodies are recommending how they should be managed.
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