Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey.
Áron HölgyesiZsombor ZrubkaLászló GulácsiPetra BajiTamás HaideggerMiklós KozlovszkyMiklós WeszlLevente KovacsMárta PéntekPublished in: BMC medical informatics and decision making (2024)
Individuals with higher education levels seem to accept the advanced digital medical technologies more. However, the greater openness for RA surgery than for AI image assessment highlights that social preferences may depend considerably on the medical situation and the type of advanced digital technology. WTP results suggest rather firm preferences in the great majority of the cases. Determinants of preferences and real-world choices of affected patients should be further investigated in future studies.
Keyphrases
- artificial intelligence
- minimally invasive
- healthcare
- robot assisted
- deep learning
- machine learning
- coronary artery bypass
- end stage renal disease
- big data
- decision making
- ejection fraction
- mental health
- chronic kidney disease
- newly diagnosed
- rheumatoid arthritis
- peritoneal dialysis
- current status
- quality improvement
- systemic lupus erythematosus
- ankylosing spondylitis
- disease activity
- percutaneous coronary intervention
- acute coronary syndrome
- high speed
- single molecule