ArticleRadiology. Imaging cancer2025
Patient Perception of Artificial Intelligence Use in Interpretation of Screening Mammograms: A Survey Study.
Article in Radiology. Imaging cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial intelligence for risk-stratified breast cancer screening: a systematic review of evidence, clinical integration, and ethical implications in risk assessment tools.La Radiologia medica · 2026Pooled it
- Barriers and Facilitators to Patient Acceptance of Artificial Intelligence in Health Care: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Barriers, Facilitators, and Intention to Use AI for Breast Cancer Diagnosis: Mixed Methods Study Among Austrian Physicians With and Without AI Experience.Journal of medical Internet research · 2026Article
- Constructs Influencing Patient Perceptions of Use of AI in Medical Imaging Analysis: Systematic Review.Interactive journal of medical research · 2026Review
- Artificial intelligence in population-based cancer screening: evidence from a national survey of Italian professionals.BMC public health · 2026Article
- Patients' Perspectives on the Implementation of AI in Radiological Diagnostics: Focus Group Study.Journal of medical Internet research · 2026Article
- Patient and Public Perceptions of Artificial Intelligence in Breast Imaging and Clinical Decision-Making: An Exploratory Cross-Sectional Survey Study.Diagnostics (Basel, Switzerland) · 2026Article
- Patient Preferences for Artificial Intelligence in Medical Imaging: A Single-Center Cross-Sectional Survey.Journal of imaging informatics in medicine · 2026Article
- Will AI Replace Physicians in the Near Future? AI Adoption Barriers in Medicine.Diagnostics (Basel, Switzerland) · 2026Review
- Women's perspectives on integrating artificial intelligence in breast cancer screening services in Abu Dhabi, united Arab Emirates.Scientific reports · 2025Article
- Patient perspectives on artificial intelligence in mammography interpretation: a comparative survey study of safety-net and academic hospital settings.Breast cancer research and treatment · 2025Article
- Accessing AI mammography reports impacts patient follow-up behaviors: the unintended consequences of including AI in patient portals.NPJ digital medicine · 2025Article
- K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Study.JMIR formative research · 2025Article
- Patient Perspectives on AI in Breast Cancer Screening: Reflections on Educational Influence, Cognitive Bias, and Cultural Factors.Radiology. Imaging cancer · 2025Article
- Artificial Intelligence in Screening Mammography: How Do Patients Feel?Radiology. Imaging cancer · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose To assess patient perceptions of artificial intelligence (AI) use in the interpretation of screening mammograms. Materials and Methods In a prospective, institutional review board-approved study, all patients undergoing mammography screening at the authors' institution between February 2023 and August 2023 were offered a 29-question survey. Age, race and ethnicity, education, income level, and history of breast cancer and biopsy were collected. Univariable and multivariable logistic regression analyses were used to identify the independent factors associated with participants' acceptance of AI use. Results Of the 518 participants, the majority were between the ages of 40 and 69 years (377 of 518, 72.8%), at least college graduates (347 of 518, 67.0%), and non-Hispanic White (262 of 518, 50.6%). Participant-reported knowledge of AI was none or minimal in 76.5% (396 of 518). Stand-alone AI interpretation was accepted by 4.44% (23 of 518), whereas 71.0% (368 of 518) preferred AI to be used as a second reader. After an AI-reported abnormal screening, 88.9% (319 of 359) requested radiologist review versus 51.3% (184 of 359) of radiologist recall review by AI (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.