What is Image Reconstruction in CT

High-tech innovations are rapidly revolutionizing the healthcare industry, transforming how diseases are detected, diagnosed, and treated. These advances include artificial intelligence for more precise diagnoses. The reliability of AI, through validation, reducing, as far as possible, opacity, errors, and possible discrimination due to technological and/or human causes is today a huge debate. It is essential to rethink the training of health professionals dynamically, with a flexible review of the study programs by interdisciplinary commissions, to combine the various competencies of AI in a transversal and interdisciplinary way. This chapter explores major bioethical issues emerging from the development and use of artificial intelligence in medical settings.