A new survey highlights six main concerns clinicians and patients have about healthcare AI in 2026, including bias, governance, deskilling, hallucinations, accountability, and source validation.
Key Details
- 172% of clinicians and 61% of patients worry that AI-generated health info could be biased by advertising.
- 2Clinician awareness of formal AI governance rose marginally from 21% in 2025 to 27% in 2026.
- 375% of clinicians fear losing clinical skills when relying on AI, and 77% double-check AI recommendations.
- 474% of clinicians are concerned about AI hallucinations, and 73% feel confident in identifying invalid AI responses.
- 575% of patients cite accountability for harm as a major concern if AI contributes to errors in care.
- 6Over 90% of clinicians and 89% of patients say human experts should validate sources for AI-driven care decisions.
Why It Matters
These findings reflect widespread skepticism and the demand for transparency and robust oversight in medical AI, directly relevant to radiology where AI is increasingly embedded in workflows. Addressing these issues is crucial for building trust and ensuring safe, responsible AI integration in imaging and broader clinical environments.
Source
HealthExec
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