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TRV-2026-0329Certified recordPeer-reviewed

Artificial Intelligence for Cervical HPV Infection and Lesion Screening: A Cross-Sectional Analysis of Its Application Potential and Patient Satisfaction

OBJECTIVE: This cross-sectional study aimed to explore the application potential of artificial intelligence (AI) in screening and diagnosing cervical human papillomavirus (HPV) infection and lesions, and to assess patient satisfaction with the current diagnostic and therapeutic process as well as their unmet needs. METHODS: An online cross-sectional survey was conducted via the Questionnaire Star platform, and 308 valid responses were collected. Descriptive statistics were used to summarize participants' demogra…

Health · The Trace — both readings · certified 2026-07-20 · v1 · article view · machine-readable

Current reading — gain

In a 308-person online survey of mostly urban women with high HPV history, 73.7% said they trusted an AI preliminary screening plus physician confirmation workflow for cervical screening, with 76% believing AI could shorten result waiting times.

Current reading — problem

Among the same respondents, 70.8% cited technical reliability and 68.2% cited data privacy as top concerns about AI application for cervical screening, while 41.2% reported anxiety during result waiting and 58.1% struggled with medical terminology.

What this doesn’t fix

Cross-sectional online survey design with small, skewed sample limits generalizability beyond urban younger women.

Evidence

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-0329, v1: “Artificial Intelligence for Cervical HPV Infection and Lesion Screening: A Cross-Sectional Analysis of Its Application Potential and Patient Satisfaction.” Truvace, 2026-07-20. /record/TRV-2026-0329 (accessed at citation time). sha256 7dcf38ee963954ca…

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