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TruaceTracing the truth around AIThursday, August 27, 2026
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TRV-2026-0906Certified recordPeer-reviewed

Attitudes, perceptions, and UTAUT-based factors influencing the acceptance of medical artificial intelligence among Chinese oncology healthcare professionals: a national cross-sectional survey

Objectives To conduct a nationwide survey among professionals working in oncology departments in China to investigate their attitudes, perceptions, and experiences regarding medical artificial intelligence (AI), and to explore and compare the factors influencing AI behavioral intention (BI; willingness to adopt AI) between physicians and nurses using the Unified Theory of Acceptance and Use of Technology (UTAUT). Materials and methods A nationwide cross-sectional survey was conducted among professionals in oncol…

Health · The Trace — both readings · certified 2026-08-27 · v1 · article view · machine-readable

Current reading — gain

Among Chinese oncology professionals, higher trust in system reliability and higher effort expectancy were associated with stronger behavioral intention to adopt medical AI.

Current reading — problem

Despite high awareness, most Chinese oncology professionals have not practically integrated medical AI, with only 17.7% reporting both hearing of and using it and 67.7% hearing but never using it.

What this doesn’t fix

Findings are based on a cross-sectional survey of 610 oncology professionals in China, limiting causal inference and generalizability beyond this population and setting.

Evidence

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-0906, v1: “Attitudes, perceptions, and UTAUT-based factors influencing the acceptance of medical artificial intelligence among Chinese oncology healthcare professionals: a national cross-sectional survey.” Truvace, 2026-08-27. /record/TRV-2026-0906 (accessed at citation time). sha256 d8b7f273ace07a2c…

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