Table 2.

Description of studies that satisfied the study eligibility criteria

Authors, year	Study design	Study population	Country	Study population	Aims
Müller et al, 2021¹¹	Semi-structured interviews	n=5	Germany	Patients attending health centre for dental treatment	Identify barriers and enablers for implementation of AI in dental radiography
Lennartz et al, 2021¹⁴	Cross-sectional survey	n=229	Germany	Patients attending outpatient CT or MRI imaging appointments	Investigate patient opinions on acceptability of AI in aspects of medical workflow and with differing levels of human control and supervision
Ongena et al, 2021¹²	Cross-sectional survey	n=922	The Netherlands	Respondents (aged ≥16 years) to nationally representative household survey	To investigate general population's view of use of AI in interpretation of screening mammograms
Ongena et al, 2020¹⁵	Cross-sectional survey	n=155	The Netherlands	Patients attending outpatient CT, MRI and conventional radiography appointments	To develop and validate a standardised questionnaire on patient views regarding implementation of AI in radiology
York et al, 2020¹³	Cross-sectional survey	n=216	UK	Patients attending outpatient fracture clinic	Patient attitudes to potential use of AI in assisting clinicians with interpretation and subsequent management of injuries identified through skeletal radiography
Jonmarker et al, 2019 ⁹	Cross-sectional survey	n=2,196	Sweden	Breast cancer screening participants with a negative mammogram result	Establish attitudes toward future use of AI in mammography among screening participants
Haan et al, 2019 ¹⁰	Semi-structured interviews	n=20	The Netherlands	Patients attending outpatient CT chest and abdomen appointments	Evaluate patient level of knowledge and views of AI and identify domains related to patient perspectives

AI = artificial intelligence; CT = computed tomography; MRI = magnetic resonance imaging.