Doctors or Artificial Intelligence? Most Survey Respondents Trust AI Diagnoses

Differences in Trust Between AI and Doctors’ Diagnoses

Artificial intelligence (AI) is becoming increasingly important in healthcare. A survey by Innerbody Research found that people trusted diagnoses made by AI more than those made by doctors. This could signal a significant transformation in healthcare.

Growing Trust in AI Diagnoses

Among the 1027 survey respondents, 64% trusted an AI diagnosis more than a diagnosis made by a doctor. Trust was higher among younger people and lower among older people.

The survey also asked about robotics and nanotechnology alongside AI.

Four generations were represented:

• Baby Boomers (born 1946-1964),
• Generation X (born 1965-1980),
• Millennials (born 1981-1996) and
• Generation Z (born 1997-2012).

Trust Across Different Generations

• 82% of Generation Z said they trusted AI diagnoses more than doctors. As the youngest generation, Generation Z was the group with the greatest trust in AI.
• 66% of Millennials reported greater trust in AI, making them another group with high trust.
• For Generation X, the figure was 62%. This generation also showed considerable trust in AI.
• For Baby Boomers, it was 57%. As the oldest generation, Baby Boomers trusted AI the least.

Concerns About Using AI

Respondents’ greatest concern about using AI was diagnostic accuracy (54%). Other major concerns included data privacy and security (50%) and technical limitations (43%).

Medical image analysis was the use of AI that respondents felt most comfortable with, supported by 60%. Other supported uses included predictive analytics (47%) and electronic health record management (46%).

Views on Robotics and Nanotechnology

Alongside overall support for AI, the survey found general support for robotics in healthcare. Only 4% of respondents said they were completely uncomfortable with robots being involved in their care. Baby Boomers were the least comfortable group, with 9% reporting discomfort.

Overall, respondents felt most comfortable with robots being used for conventional X-rays (86%), CT scans (82%), MRI scans (77%) and skin examinations (75%).

However, comfort with robotics varied by generation. Generation Z was most comfortable with robots in diagnosis; Millennials with rehabilitation and diagnosis; Generation X with help in daily tasks; and Baby Boomers with rehabilitation.

Finally, the survey found that respondents generally supported the use of nanotechnology in healthcare. Only 7% said they were uncomfortable with nanotechnology in medical applications.

Overall, 67% said they would accept a medical procedure involving nanotechnology if their doctor recommended it. However, 69% expressed concern about its long-term effects on the body.

Conclusion

This survey suggests that AI is gaining acceptance in healthcare, while accuracy, privacy and technical limitations still need attention. As trust in AI differs between generations, integrating the technology ethically and safely may be critical in shaping future healthcare.