Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
RADIOLOGISTS’ SATISFACTION AND ENGAGEMENT WITH ARTIFICIAL INTELLIGENCE SOFTWARE
2
Zitationen
6
Autoren
2024
Jahr
Abstract
The purpose of this study was to evaluate the radiologists’ engagement and satisfaction with artificial intelligence software as a means to support medical decision-making. A survey of radiologists working in public healthcare facilities under the Moscow Healthcare Department was conducted in 2021 and 2022. The survey was completed by 333 radiologists in 2021, and by 342 – in 2022. The respondents were CT, MRI, X-ray and MMG specialists of various age and clinical experience. The study found that the physicians’ engagement rate with artificial intelligence more than doubled in 2022 vs. 2021. An assessment of satisfaction with the artificial intelligence technologies in routine clinical practice showed that in 2022 vs. 2021, the opinions shifted from the extreme “excellent” and “unsatisfactory” rates towards moderate “good” and “satisfactory”. The findings show that artificial intelligence technologies require further improvement from both clinical and technical standpoint, public perception and also as an educational tool for physicians who use artificial intelligence in their routine clinical practice.
Ähnliche Arbeiten
Refinement and reassessment of the SERVQUAL scale.
1991 · 3.966 Zit.
Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review
2005 · 3.761 Zit.
Radiobiology for the Radiologist.
1974 · 3.501 Zit.
International evidence-based recommendations for point-of-care lung ultrasound
2012 · 2.808 Zit.
Radiation Dose Associated With Common Computed Tomography Examinations and the Associated Lifetime Attributable Risk of Cancer
2009 · 2.428 Zit.