Comparative analysis of perceptions on artificial intelligence in surgery: a survey study among surgeons and medical students in Ireland

Congratulations to Professor Ronan Cahill, Doris Braunstein, Haniya Farooq, Marco Paolino and Dr Alice Moynihan on their recent research, published in the Irish Journal of Medical Science.

Their research article is titled, ‘Comparative analysis of perceptions on artificial intelligence in surgery: a survey study among surgeons and medical students in Ireland’ and it demonstrates that students and postgraduates in surgery in Ireland express optimism and high expectations for AI’s potential to improve surgery. However, concerns about reliability, evidence, and liability persist with clear caution regarding automated decision-making and insight regarding the need for education that may help align expectations realistically regarding AI evolution.

Abstract

Background

Artificial Intelligence (AI) promises to revolutionize healthcare but has been previously characterized by cycles of “boom” and “bust.” Alongside technological capability, realistic user expectations are essential for appropriate implementation. We surveyed surgeons, surgical trainees, and medical students in Ireland regarding their current perceptions.

Methods

Electronic survey distributed through professional networks and social media with institutional ethical approval. Statistical and thematic analyses were performed to identify key perspectives.

Results

Among 94 participants (63% medical students, 18% surgical trainees, 15% consultants, and 4% ancillary surgical roles), 62.7% “strongly agreed” that AI could enhance real-time decision-making during surgery. Most (90.5%) believed AI was already being surgically deployed to some extent although only 18% felt it appropriate ever to use for decision-making. While 53.2% were positive about AI’s potential to improve surgical outcomes, 72.3% reported no AI training in this context despite 86.2% expressing interest. The primary concerns with AI regarded accuracy and reliability (38.7%) and the lack of evidence of effectiveness (33.7%). Surgical trainees expressed greater concern about AI transparency (47% “extremely con- cerned”) compared to consultants (42.9% “slightly concerned”) and, along with students, declared higher concern regarding liability issues versus consultants (64.3% of whom had “little to no concern”).

Conclusion

Students and postgraduates in surgery in Ireland express optimism and high expectations for AI’s potential to improve surgery. However, concerns about reliability, evidence, and liability persist with clear caution regarding automated decision-making and insight regarding the need for education that may help align expectations realistically regarding AI evolution.

Read the full article online (opens in a new window)here.