Cherry Sit|Rohit Srinivasan|Ashik Amlani|Keerthini Muthuswamy|Aishah Azam|L. Monzon|Daniel Poon
Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey
Guy's and St Thomas' NHS Foundation Trust|Guy's and St Thomas' NHS Foundation Trust|Guy's and St Thomas' NHS Foundation Trust|Guy's and St Thomas' NHS Foundation Trust|Guy's and St Thomas' NHS Foundation Trust|Guy's and St Thomas' NHS Foundation Trust|Guy's and St Thomas' NHS Foundation Trust
abstract objectives explore attitudes united kingdom uk medical students regarding artificial intelligence ai understanding career intention towards radiology also examine state education relating ai amongst cohort methods uk medical students invited complete anonymous electronic survey consisting likert dichotomous questions results four hundred eightyfour responses received 19 uk medical schools eightyeight percent students believed ai play important role healthcare 49 reported less likely consider career radiology due ai eightynine percent students believed teaching ai would beneficial careers 78 agreed students receive training ai part medical degree 45 students received teaching ai none students received teaching part compulsory curriculum statistically students receive teaching ai likely consider radiology p 001 rated positively questions relating perceived competence postgraduation use ai p 001004 despite large proportion students taught group reported lack confidence understanding required critical use healthcare ai tools conclusions uk medical students understand importance ai keen engage medical school training ai expanded improved realistic use cases limitations ai must presented students feel discouraged pursuing radiology