Purpose To assess the perceptions and attitudes of radiologists toward the adoption of
artificial intelligence (AI) in clinical practice. Methods A survey was conducted among …

Lung cancer remains a global health challenge, leading to substantial morbidity and
mortality. While prevention and early detection strategies have improved, the need for …

Introduction Artificial intelligence (AI) is transforming oncology and surgery by improving
diagnostics, personalizing treatments, and enhancing surgical precision. Patients appreciate …

Background Previous work has shown the ability of Fibresolve, a machine learning system,
to non-invasively classify idiopathic pulmonary fibrosis (IPF) with a pre-invasive sensitivity of …

The aim of the conducted research was to assess the attitude of the Polish society towards
the use of artificial intelligence in medical diagnostics. In the research process, we sought …

Since its introduction in 1956, artificial intelligence (AI) has experienced cycles of excitement
and disappointment. We are now in a renewed phase of interest, driven by increased user …

Purpose: This study examines patients' perspectives on the integration of artificial
intelligence (AI) in radiology through focus groups, aiming to identify the main issues and …

The successful implementation of artificial intelligence (AI) in healthcare is dependent upon
the acceptance of this technology by key stakeholders, particularly patients, who are the …

Introduction Artificial intelligence (AI) is becoming increasingly implemented in radiology,
especially in image reporting. Patients' perceptions about AI integration in medical imaging …

Background: Given that artificial intelligence (AI) is a newly emerging field transforming the
practice of medicine, the end-user perspective is of paramount importance for its success …