RockwellHDCyphersEDMakaryMSKellerEJ. Ethical considerations for artificial intelligence in interventional radiology: balancing innovation and patient care. Semin Interv Radiol. 2023;40(3):323-326. doi:10.1055/s-0043-1769905
2.
WarrenBEBilbilyAGichoyaJW, et al. An introductory guide to artificial intelligence in interventional radiology: part 1 foundational knowledge. Can Assoc Radiol J. 2024;75(3):558-567. doi:10.1177/08465371241236376
SavulescuJGiubiliniAVandersluisRMishraA. Ethics of artificial intelligence in medicine. Singapore Med J. 2024;65(3):150-158. doi:10.4103/singaporemedj.SMJ-2023-279
5.
LiWLiuX. Anxiety about artificial intelligence from patient and doctor-physician. Patient Educ Couns. 2025;133:108619. doi:10.1016/j.pec.2024.108619
6.
GeisJRBradyAPWuCC, et al. Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement. Can Assoc Radiol J. 2019;70(4):329-334. doi:10.1016/j.carj.2019.08.010
7.
BradyAPAllenBChongJ, et al. Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA. Can Assoc Radiol J. 2024;75(2):226-244. doi:10.1177/08465371231222229
8.
AbdelwanisMAlarafatiHKTammamMMSSimseklerMCE. Exploring the risks of automation bias in healthcare artificial intelligence applications: a Bowtie analysis. J Saf Sci Resil. 2024;5(4):460-469. doi:10.1016/j.jnlssr.2024.06.001
