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TRUST, PRIVACY, AND LIABILITY: EXPLORING PATIENT ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE IN HEALTHCARE
Background: The aim of this study was to evaluate the level of trust and social acceptance regarding the use of artificial intelligence (AI) in medical self-diagnosis, and to identify patients' primary concerns related to the implementation of AI algorithms in the healthcare system. Materials and Methods: The research...
ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF OCCUPATIONAL DISEASES: TECHNOLOGICAL INNOVATIONS AND MEDICAL CERTIFICATION IN ASBESTOSIS
Background: Asbestosis remains most significant challenges in occupational medicine. The traditional medical certification process, primarily based on the subjective visual assessment of conventional chest radiographs (CXR), is hindered by high interobserver variability. This leads to prolonged administrative disputes...