Wednesday, December 3 | 8:10 a.m.-8:20 a.m. | W1-SSNPM03-2 | Room S402
This early morning session will appeal to those interested in creating a positive patient experience despite the pressure of increasing imaging volumes.
Are patients ready for standalone AI? Do they prefer written consent prior to the use of AI for interpretation? Should radiology reports disclose the use of AI? What are the implications? This session, led by Hayley Briody, brings good news and bad news.
A tertiary referral radiology department netted about 950 responses to a 16-item voluntary questionnaire designed to gauge patient perceptions around using AI in healthcare and specifically in imaging studies.
Questions included basic demographics, general attitudes toward AI in healthcare, attitudes to radiology-specific applications of AI, and willingness to consent for anonymized personal data to be used for training AI models in a research setting, Briody and colleagues noted in their scientific abstract.
You will need to attend the session to get all their key findings, but for now, only 20.4% respondents agreed or strongly agreed when asked if they would allow AI to act as the sole reader of their imaging. The majority of respondents were 50 to 69 years old.
The percentage of respondents who agreed or strongly agreed that using AI in healthcare is a good idea might surprise you. Even more surprising may be their attitudes toward radiologists.
Attend for key findings to consider in clinical practice going forward.
