ARTIFICIAL INTELLIGENCE APPLIED TO IMAGING EXAMS: IMPACTS ON CLINICAL DECISION-MAKING AND MULTIPROFESSIONAL HEALTHCARE PRACTICE

Abstract

The incorporation of Artificial Intelligence (AI) into medical imaging has redefined how diagnostic information is produced, interpreted, and applied in healthcare delivery. In a context marked by increasing clinical complexity and the need for more precise decision-making, AI emerges as a strategic tool to support healthcare practice, directly impacting multiprofessional performance. This study aimed to analyze the contributions of Artificial Intelligence applied to imaging exams to clinical decision-making and multiprofessional care integration in healthcare. This qualitative study adopted an analytical-interpretative approach based on recent scientific literature. The findings indicate that AI applied to medical and dental radiology enhances diagnostic efficiency, supports the prioritization of critical cases, and strengthens shared therapeutic planning among physicians, nurses, radiology professionals, pharmacists, physiotherapists, speech-language pathologists, and other healthcare professionals. However, ethical, organizational, and educational challenges were also identified, highlighting the need for responsible governance and interprofessional training. It is concluded that Artificial Intelligence in imaging represents a significant opportunity to improve healthcare delivery, provided it is integrated into collaborative, patient-centered practices guided by solid ethical principles.