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Ethics and trustworthiness of artificial intelligence in Hepato-Pancreato-Biliary surgery: a snapshot of insights from the European-African Hepato-Pancreato-Biliary Association (E-AHPBA) survey

Articolo
Data di Pubblicazione:
2025
Citazione:
Ethics and trustworthiness of artificial intelligence in Hepato-Pancreato-Biliary surgery: a snapshot of insights from the European-African Hepato-Pancreato-Biliary Association (E-AHPBA) survey / Rashidian, N.; Abu Hilal, M.; Frigerio, I.; Guerra, M.; Sterckx, S.; Tozzi, F.; Capelli, G.; Verdi, D.; Spolverato, G.; Gulla, A.; Ratti, F.; Healey, A. J.; Esposito, A.; De Pastena, M.; Belli, A.; Bouwense, S. A.; Apostolos, A.; Lang, S. A.; Lopez-Lopez, V.; Stavrou, G. A.; Aldrighetti, L.; Strobel, O.; Croner, R.; Gumbs, A. A.. - In: HPB. - ISSN 1365-182X. - 27:4(2025), pp. 502-510. [10.1016/j.hpb.2024.12.016]
Abstract:
Background: Hepato-Pancreato-Biliary (HPB) surgery is a complex specialty and Artificial Intelligence (AI) applications have the potential to improve pre- intra- and postoperative outcomes of HPB surgery. While ethics guidelines have been developed for the use of AI in clinical surgery, the ethical implications and reliability of AI in HPB surgery remain specifically unexplored. Methods: An online survey was developed by the Innovation Committee of the E-AHPBA to investigate the current perspectives on the ethical principles and trustworthiness of AI in HPB Surgery among E-AHPBA membership. The survey consisted of 22 questions, based on guidelines outlined by the Artificial Intelligence Surgery Journal Task Force on AI Ethics in clinical surgery and was disseminated via email to all E-AHPBA members. Results: A total of 84 members of the E-AHPBA participated in the survey. Seventeen out of 22 questions achieved more than 80 % agreement, with nine of those exceeding 90 %. Five questions had agreement levels between 70 % and 80 %. Conclusion: While HPB surgeons are aware of the need to regulate the use of AI devices, robots, and to protect patient data, consensus appears to be heterogeneous regarding AI's role in mitigating gender-related and minority biases, as well as ensuring fairness and equity.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Rashidian, N.; Abu Hilal, M.; Frigerio, I.; Guerra, M.; Sterckx, S.; Tozzi, F.; Capelli, G.; Verdi, D.; Spolverato, G.; Gulla, A.; Ratti, F.; Healey, A. J.; Esposito, A.; De Pastena, M.; Belli, A.; Bouwense, S. A.; Apostolos, A.; Lang, S. A.; Lopez-Lopez, V.; Stavrou, G. A.; Aldrighetti, L.; Strobel, O.; Croner, R.; Gumbs, A. A.
Autori di Ateneo:
ALDRIGHETTI LUCA ANTONIO MARIA
RATTI FRANCESCA
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/182116
Pubblicato in:
HPB
Journal
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URL

https://www.hpbonline.org/article/S1365-182X(24)02464-X/fulltext
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