Related Experiment Video
Updated: Jun 8, 2026
Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
Published on: February 6, 2020
Public Perspectives on Artificial Intelligence in Medicine and Radiology: Insights From a Survey in an Italian Cancer
Filippo Pesapane1, Emilia Giambersio2, Anna Rotili1
1Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
Purpose:
Artificial intelligence (AI) is fast becoming a vital part of health care, dramatically affecting physicians' workflows and patients' outcomes. Understanding patients' opinions on its use is thus essential to ensure its successful adoption. This study aims to evaluate public perceptions of AI in health care and explore patient feedback through a survey.
Methods:
From January 2023 to June 2024, a survey on AI in health care was distributed to the public via a QR code shared through social media, posters, and videos, reaching 454 participants, of whom 240 completed the survey. Adapted from a validated 2020 model by Esmaeilzadeh et al, the survey underwent careful translation and cultural adjustments for the Italian population, including forward-backward translation and pilot testing. The survey assessed topics like willingness to use AI, performance anxiety, liability concerns, privacy issues, and its effect on doctor-patient communication. Responses were scored, with lower scores indicating greater acceptance of AI.
Results:
The survey showed that 96% supported AI as a tool to assist radiologists and 92% were open to using AI for diagnostics and treatments. Concerns included reliability (61%) and reduced personal interaction (58%). Seventy-two percent trusted AI with data privacy. Overall, 90.4% viewed AI positively.
Conclusion:
The study highlights a balanced perspective on AI in health care. While recognizing its potential to enhance diagnostics and treatments, participants raised concerns about reliability, accountability, and interpersonal impacts. Most supported AI as a tool to complement, not replace, human expertise, emphasizing the need for transparent, reliable systems.
