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TRUVACE RECORD VERSION
record: TRV-2026-0329
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-07-20T08:46:28.119053Z
status: published
lens: trace
sector: health
headline: Artificial Intelligence for Cervical HPV Infection and Lesion Screening: A Cross-Sectional Analysis of Its Application Potential and Patient Satisfaction
dek: 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…
gain_title: 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.
problem_title: 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.
trace_subject: patient attitudes toward AI-assisted screening for cervical HPV infection and lesions
gain_reading: 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.
gain_evidence: 73.70% trusted the "AI preliminary screening + physician confirmation" model | 75.97% of respondents believed AI could shorten result waiting times
problem_reading: 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.
problem_evidence: The top concerns regarding AI application were technical reliability (70.78%) and data privacy (68.18%) | The most distressing part of the screening process was anxiety during result waiting (41.23%) | 58.12% found medical terminology difficult to understand
quick_read: On July 10 2026, a peer-reviewed cross-sectional study reported results from 308 online questionnaire responses about cervical HPV screening experiences. Most respondents were urban women aged 25-35, 76.30% reported a history of HPV infection, and 91.56% had undergone TCT. The study measured current distress points and attitudes toward AI-assisted diagnosis.

The findings matter because they quantify both demand for faster, more understandable screening and conditional acceptance of an AI preliminary screening plus physician confirmation model, while also quantifying persistent worries about reliability and privacy. Uncertainty remains because the data reflect stated beliefs and willingness, not measured clinical performance or deployment outcomes of an AI system. 
limitation: Cross-sectional online survey design with small, skewed sample limits generalizability beyond urban younger women.
tag: Model-prefilled trace
key_points: 308 valid responses collected via Questionnaire Star platform, 76.30% reported history of HPV infection and 91.56% had undergone ThinPrep cytologic test | 58.12% found medical terminology difficult to understand and 41.23% cited anxiety during result waiting as most distressing part | Younger respondents ≤35 years showed significantly higher willingness to learn about AI than those >35 years (65.1% vs 52.4%, χ²=6.24, P=0.012)
rundown: The survey was administered online via Questionnaire Star and analyzed with descriptive statistics, chi-square tests for demographic associations, and qualitative content analysis for open-ended responses. 91.56% of participants had undergone ThinPrep cytologic test (TCT).

Results showed 61.04% had no prior knowledge of AI-assisted diagnosis, yet 58.77% were willing to learn about its use to improve diagnostic efficiency, with significantly higher willingness among those ≤35 years. The authors concluded patients have strong demands for diagnostic efficiency, psychological support, and information transparency.
sources:
- peer_reviewed | Gynecologic and Obstetric Investigation | https://doi.org/10.1159/000553436 | 2026-07-10
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