Users’ trust in AI-based prevention of healthcare is low
Artificial Intelligence can be used to perform preventive healthcare tasks such as routine health checks, vaccinations and screenings with an expert level of accuracy. This can prove cost-effective over the long term. A new study found that people are less likely to trust AI-driven preventive care than they are when it is suggested by human health professionals.
Researchers at Nanyang Technological University in Singapore (NTU) studied 15 000 users of a mobile health application. They found that involving a human expert to suggest an AI intervention can improve its effectiveness and acceptance.
These findings indicate that human interaction is still important, even though AI is increasingly used in the healthcare sector to diagnose and treat patients with greater efficiency. Researchers say that the findings could also help to design more effective AI-prompted prevention care interventions.