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References from How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey. Local targets link to admitted publications; unresolved targets remain external evidence.
Health care employees' perceptions of the use of artificial intelligence applications: survey study
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10.2196/15154
10.2196/15154 · External reference
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Artificial intelligence framework for simulating clinical decision-making: a markov decision process approach
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10.25300/misq/2021/16274 · External reference
Physicians' resistance toward healthcare information technology: a theoretical model and empirical test
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Artificial intelligence and the future of primary care: exploratory qualitative study of UK general practitioners' views
10.2196/12802 · 2019 · External reference
Computerization and the future of primary care: a survey of general practitioners in the UK
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Latent dirichlet allocation
2003 · External reference
Cognitive biases and heuristics in medical decision making: a critical review using a systematic search strategy
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Bridging the "last mile" gap between ai implementation and operation: "data awareness" that matters
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Perceptions of artificial intelligence among healthcare staff: a qualitative survey study
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Robotic services acceptance in smart environments with older adults: user satisfaction and acceptability study
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1988 · External reference
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The potential for artificial intelligence in healthcare
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Technologies for an aging society: a systematic review of “smart home” applications
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Implications of psychometric measurement for neuropsychological interpretation
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Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda
2019 · External reference
Gender bias in medical research
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The importance of incorporating human factors in the design and implementation of artificial intelligence for skin cancer diagnosis in the real World
2020 · External reference
Discovering and Categorising Language Biases in Reddit
10.1609/icwsm.v15i1.18048 · 2021 · External reference
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An International Survey on AI in Radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude
10.1007/s00330-021-07781-5 · 2021 · External reference
Increasing acceptance of medical AI: the role of medical staff participation in AI development
10.1016/j.ijmedinf.2023.105073 · 2023 · External reference
Manipulating user resistance to large-scale information systems through influence tactics
10.1016/j.im.2019.103178 · 2020 · External reference
Identity threats as a reason for resistance to artificial intelligence: survey study with medical students and professionals
10.2196/28750 · 2022 · External reference
Augmenting medical diagnosis decisions? An investigation into physicians’ decision-making process with artificial intelligence
10.1287/isre.2020.0980 · 2021 · External reference
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10.1257/jep.5.1.193 · External reference
The roles of personality traits, ai anxiety, and demographic factors in attitudes toward artificial intelligence
2024 · External reference
Investigating user resistance to information systems implementation: a status quo bias perspective
10.2307/20650309 · 2009 · External reference
10.2196/28151
10.2196/28151 · External reference
Human factors and technological characteristics influencing the interaction of medical professionals with artificial intelligence-enabled clinical decision support systems: literature review
10.2196/28639 · 2022 · External reference
Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France
10.1186/s12967-019-02204-y · 2020 · External reference
Improving online idea generation platforms and customizing the task structure on the basis of consumers' domain-specific knowledge
10.1509/jm.13.0212 · 2015 · External reference
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10.1080/19312458.2018.1430754 · External reference
Emergency physician twitter use in the COVID-19 pandemic as a potential predictor of impending surge: retrospective observational study
10.2196/28615 · 2021 · External reference
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10.1371/journal.pone.0274317 · External reference
Reporting bias in medical research - a narrative review
10.1186/1745-6215-11-37 · 2010 · External reference
Online information search behaviour of physicians
10.1111/hir.12170 · 2017 · External reference
The assessment of alternative measures of consumer expertise
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Investigating the acceptance of video consultation by patients in rural primary care: empirical comparison of preusers and actual users
10.2196/20813 · 2020 · External reference
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10.1177/0049124117729703 · External reference
Strong artificial intelligence and consciousness
10.1142/s2705078520300042 · 2020 · External reference
Physician confidence in artificial intelligence: an online mobile survey
10.2196/12422 · 2019 · External reference
Intelligent therapeutic decision support for 30 days readmission of diabetic patients with different comorbidities
10.1016/j.jbi.2020.103486 · 2020 · External reference
Scope and influence of electronic health record-integrated clinical decision support in the emergency department: a systematic review
10.1016/j.annemergmed.2018.10.034 · 2019 · External reference
Medical practitioner's adoption of intelligent clinical diagnostic decision support systems: A mixed-methods study
10.1016/j.im.2021.103524 · 2021 · External reference
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Software framework for topic modelling with large corpora
2010 · External reference
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10.1145/2684822.2685324
10.1145/2684822.2685324 · 2015 · External reference
Physician gender, patient risk, and web-based reviews: longitudinal study of the relationship between physicians' gender and their web-based reviews
10.2196/31659 · 2022 · External reference
10.1007/bf00055564
10.1007/bf00055564 · External reference
Artificial intelligence-based conversational agents for chronic conditions: systematic literature review
10.2196/20701 · 2020 · External reference
Research perspectives: the rise of human machines: how cognitive computing systems challenge assumptions of user-system interaction
2020 · External reference
Exploring healthcare professionals' perceptions of artificial intelligence: validating a questionnaire using the e-delphi method
2021 · External reference
A behavioral model of rational choice
10.2307/1884852 · 1955 · External reference
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Mental health, job satisfaction, and intention to relocate. opinions of physicians in Rural British Columbia
2001 · External reference
10.1038/s41591-020-0942-0
10.1038/s41591-020-0942-0 · External reference
10.1126/science.185.4157.1124
10.1126/science.185.4157.1124 · External reference
A model of the antecedents of perceived ease of use: development and test
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Ai in health: state of the art, challenges, and future directions
10.1055/s-0039-1677908 · 2019 · External reference
A wikipedia-based method to support creative idea generation: the role of stimulus relatedness
10.1080/07421222.2019.1661095 · 2019 · External reference
Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior
10.1080/10494820.2019.1674887 · 2022 · External reference
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How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals
10.1038/s41591-021-01312-x · 2021 · External reference
Factors influencing the acceptability, acceptance, and adoption of conversational agents in health care: integrative review
10.2196/46548 · 2023 · External reference
Individual differences moderate effects in an Unusual Disease paradigm: a psychophysical data collection lab approach and an online experiment
10.3389/fpsyg.2023.1086699 · 2023 · External reference
Role of artificial intelligence applications in real-life clinical practice: systematic review
10.2196/25759 · 2021 · External reference
10.1038/s41551-018-0305-z
10.1038/s41551-018-0305-z · External reference
Radiation oncologists' perceptions of adopting an artificial intelligence-assisted contouring technology: model development and questionnaire study
10.2196/27122 · 2021 · External reference