“…The results of such studies, within their experimental setting, are impressive, and it is suggested that these algorithms will primarily be used as triaging tools to prioritize worklists by acuity [22]. Comparisons can be drawn to the concept behind radiographer alert systems used within the United Kingdom [23] and Australia [24], where abnormal images are flagged by the radiographer in an attempt to optimize the triaging process. However, unlike AI-led image triaging, frontline image interpretation by radiographers has been established and used in the clinical environment for many years [25][26][27] with measurable, positive outcomes [28,29].…”