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
- big data
- coronary artery bypass
- end stage renal disease
- newly diagnosed
- mental health
- ejection fraction
- chronic kidney disease
- rheumatoid arthritis
- quality improvement
- mass spectrometry
- ankylosing spondylitis
- cross sectional
- high resolution
- atomic force microscopy
- disease activity
- atrial fibrillation
- interstitial lung disease
- case control
- idiopathic pulmonary fibrosis