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Diagnostic accuracy

Do doctors think AI will take their jobs?

Oh S, Kim JH, Choi SW, et al. · Journal of medical Internet research · 2019

Open access · cc by · source: Europe PMC

Among 669 Korean physicians/students, AI familiarity was low (5.9%) but 83.4% saw medical usefulness—especially for diagnosis—while only 35.4% thought AI could replace them.

Study at a glance

Design
Cross-sectional — Online mobile survey of Korean physicians/medical students (11 items)
N
N=669 · 669 completed responses
Population
Korean doctors and medical students surveyed online
Outcome
Awareness of and attitudes toward medical AI usefulness, risks, and replacement

Structured fields used in claim comparison tables when every cited study has a complete layer.

Key findings

High perceived usefulness (83.4%) and diagnosis as top use case; concerns about unexpected situations (29.3%); minority endorsed diagnostic superiority (43.9%) or job replacement (35.4%).

Methodology

They fielded an 11-item Google Forms survey on AI recognition, attitudes, likely medical uses, and perceived risks.

Limitations

Attitudes are not performance benchmarks; a convenience online sample may not represent all clinicians.

How this study connects

Role on claims

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Not yet placed on a claim. This paper has study layers, but no concept page yet cites it as support, challenge, or qualifier.

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