Key Takeaways
- 54% of the British public are unaware of AI’s role in healthcare.
- Trust in doctors overseeing AI is high, with 76% comfort among those familiar with AI.
- The RCR emphasizes the need for public engagement and clinician-led AI deployment in healthcare.
Public Awareness and Acceptance of AI in Healthcare
A recent survey reveals that over half (54%) of the British public are unaware of artificial intelligence (AI) being utilized in the healthcare sector. Conducted by J.L. Partners for the Royal College of Radiologists (RCR), the research highlights a general skepticism regarding AI’s potential to replace human doctors.
Despite this skepticism, familiarity with AI correlates with acceptance, indicating an urgent need for public engagement. Published in the report titled “AI deployment in the UK: Reviewing progress made and defining future actions” on May 2, 2025, findings indicate that people recognize AI’s potential benefits, particularly in alleviating pressures on the National Health Service (NHS).
Dr. Katharine Halliday, president of the RCR, expressed that despite limited awareness, the public acknowledges AI’s capabilities. She noted, “Successfully harnessing AI will be crucial to tackle pressures on the health service – freeing up doctors and other healthcare staff to spend more time with patients.” According to her, the public prefers AI to be supervised by healthcare professionals to minimize risks, such as incorrect diagnoses, and to maintain the human aspect of patient care.
Currently, AI is already in use at more than 60% of cancer centers and 70% of radiology departments, with strong public confidence in these applications. The survey indicates that 40% of respondents are comfortable with AI in healthcare, and this figure rises to 76% among individuals who are very familiar with AI technology.
Concerns about data safety were prevalent, with many preferring that their data be used for AI training by trusted entities, such as the NHS or local GPs, rather than vague organizations like “government” or “health technology companies.” This reflects a desire for transparency and assurance about data privacy.
Interestingly, the public displays significant support for AI in radiology, with 80% backing its application in diagnostic tasks. Only 13% believe radiologists should refrain from utilizing AI tools. In a consensus statement, clinical AI experts and policy leaders underscored the importance of clinician-led AI initiatives and the necessity of fostering a positive narrative around AI to build public trust.
The RCR has called for prompt and effective AI deployment to aid administrative and clinical functions, aiming to relieve staff pressures. However, contrasting results from a pan-European study in January 2025 indicate that the UK risks falling behind other European nations in AI adoption within the healthcare sector.
In conclusion, while there is significant potential for AI in improving healthcare efficiency, public awareness and acceptance remain critical issues. Establishing trust through clinician guidance and open conversations about AI’s role could pave the way for its future integration into the NHS.
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