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
- end stage renal disease
- coronary artery bypass
- big data
- decision making
- ejection fraction
- newly diagnosed
- mental health
- chronic kidney disease
- rheumatoid arthritis
- prognostic factors
- peritoneal dialysis
- ankylosing spondylitis
- mass spectrometry
- interstitial lung disease
- atrial fibrillation