The national study asked children and young people aged six to 23 years old, across all four UK nations for their views on how they would like AI to be used to enhance their healthcare.
The team was led by Professor Susan Shelmerdine (UCL Great Ormond Street Institute of Child Health and GOSH) and Dr Lauren Lee, a Young Facilitator in the GOSH Young Persons’ Advisory Group (YPAG) - a group that works with GOSH to ensure young people’s views are considered.
AI is becoming more available in modern healthcare, particularly in the field of radiology, where it can be used to analyse scans. But while the radiology community, including children’s radiologists, are generally positive about AI use, little attention has been paid to how children and young adults feel about the use of AI on their own imaging data.
The results of the survey, which was co-developed with a steering committee of patients and carers from the GOSH YPAG and GOSH parents and Carer Advisory Group (PCAG) for research showed that children and young people are cautious, but generally positive about AI.
The survey results found that young people were keen for AI to be used in healthcare, particularly if it could improve their care and outcomes. However, they wanted the tools to be supervised by healthcare professionals as they feel there are elements of care such as empathy and ethical decision making, that AI cannot mimic and when faced between a human and computer they would be more willing to trust the human.
For specific questions asked about radiology, respondents felt that AI would be accurate at finding problems on bone X-rays and they didn’t mind how long the results took, as long as they were as accurate as possible, and that the AI was used with a trusted doctor still in charge of their care.
The study's findings are already being incorporated into research based at GOSH, evaluating and developing AI tools to better detect and describe fractures from a large dataset of x-ray scans in children across Britain. The online survey was sent out to schools, universities and charity partners, encouraging children and young adults to respond over a one-year period.
Lead researcher, Professor Susan Shelmerdine (UCL Great Ormond Street Institute of Child Health and GOSH) and her team are hoping to develop AI tools that can create written reports direct from radiology images and allow patients to ask the AI questions about their imaging.
Professor Shelmerdine said: “The number of trained children’s radiologists in the UK is relatively small, so tools like AI could help upskill our workforce to enable more equitable care for patients who don’t have the option to visit specialist hospitals like GOSH.
“Nevertheless, we cannot assume that we know what children want. It was encouraging to see that when asked, children and young people were positive about the use of AI in their healthcare, but it was also important to understand what was important to them – such as human oversight - so that we can factor this into the development of new tools and treatments.”
Study co-lead and Young Facilitator, Dr Lauren Lee of Epsom and St Helier University Hospitals NHS Trust, said: “There are a lot of discussions about how AI can help to facilitate healthcare. Until this study, no one has really asked the younger generation how we feel about it, especially as we will be growing up alongside AI developments.
“It has been great to be able to give young people a voice in this space.”
The study was funded by the National Institute for Health and Care Research (NIHR).
Link
- Professor Susan Shelmerdine's academic profile
- UCL Great Ormond Street Institute of Child Health
- UCL Population Health Sciences
- GOSH
Image
- Xray image from the FRACTURE study which is using AI to detect fractures in Xrays. Credit: Cato Pauling
Media contact
Poppy Tombs
E: p.tombs [at] ucl.ac.uk
