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Radiology is a relatively new specialty among the other specialties in medicine; it has experienced evolutionary changes in its journey in the last century and in this current millennium and seems to be very much prone to further innovations. Artificial Intelligence (AI) in radiology is a very hot, exciting, irresistible, innovative, and evolutionary topic, perhaps the biggest milestone in its journey after the invention of the X-ray by William Conrad Roentgen in 1895 (1). AI, without doubt, will become part of radiologists’ daily practice, helping clinicians improve efficiency and diagnostic capability. It has the potential to shift through a large quantity of imaging data in seconds, assisting radiologists by helping to prioritize worklists and diagnoses (2).
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Emre Pakdemirli (2019) studied this question.
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