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The future of breast cancer screening: what do participants in a breast cancer screening program think about automation using artificial intelligence?

2019·40 Zitationen·Acta Radiologica OpenOpen Access
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40

Zitationen

4

Autoren

2019

Jahr

Abstract

BACKGROUND: If screening participants do not trust computerized decision-making, screening participation may be affected by the introduction of such methods. PURPOSE: To survey breast cancer screening participants' attitudes towards potential future uses of computerization. MATERIAL AND METHODS: and logistic regression tests. RESULTS: The mean age of participants was 61 years. Response rate was 1.3%. Of the submitted surveys, 97.5% were complete; 38% of respondents reported a preference for a computer-only examination. The highest level of confidence was given a computer-only reading followed by a physician reading. Participants with > 12 years of education were more likely to prefer a computer-only reading (odds ratio [OR] 1.655, 95% confidence interval [CI] 1.168-2.344), had a greater trust in letting a computer determine screening intervals and the need for a supplemental MRI (OR 1.606, 95% CI 1.171-2.202 and OR 1.577, 95% CI 1.107-2.247, respectively). Age was not found to be a significant predictor. CONCLUSION: A high level of trust in computerized decision-making was expressed. Higher age was associated with a lower understanding of technology but did not affect attitudes to computerized decision-making. A lower level of education was associated with a lower trust in computerization. This may be valuable knowledge for future studies.

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Autoren

Institutionen

Themen

AI in cancer detectionRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education
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