Artificial Intelligence in Screening Mammography: A Population Survey of Women’s Preferences
Autor: | Yfke Ongena, Marieke Haan, Thomas C. Kwee, Derya Yakar |
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Přispěvatelé: | Guided Treatment in Optimal Selected Cancer Patients (GUTS), Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Sociology/ICS |
Rok vydání: | 2021 |
Předmět: |
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Population Breast Neoplasms 030218 nuclear medicine & medical imaging 03 medical and health sciences Breast cancer screening breast cancer 0302 clinical medicine Artificial Intelligence Reading (process) Radiologists medicine Humans Mass Screening Mammography Radiology Nuclear Medicine and imaging education Early Detection of Cancer Mass screening Population survey media_common education.field_of_study medicine.diagnostic_test Screening mammography business.industry 030220 oncology & carcinogenesis surveys and questionnaires Dutch Population Female Artificial intelligence business Psychology |
Zdroj: | Journal of the american college of radiology, 18(1), 79-86. ELSEVIER SCIENCE INC |
ISSN: | 1546-1440 |
Popis: | OBJECTIVE: To investigate the general population's view on the use of artificial intelligence (AI) for the diagnostic interpretation of screening mammograms.METHODS: Dutch women aged 16 to 75 years were surveyed using the Longitudinal Internet Studies for the Social sciences panel, representative for the Dutch population. Attitude toward AI in mammography screening was measured by means of five items: necessity of a human check; AI as a selector for second reading; AI as a second reader; developer is responsible for error; and radiologist is responsible for error.RESULTS: Of the 922 participants included, 77.8% agreed with the necessity of a human check, whereas the item AI as a selector for a second reading was more heterogeneously answered, with 41.7% disagreement, 31.5% agreement, and 26.9% responding with "neither agree nor disagree." The item AI as a second reader was mostly responded with "neither agree nor disagree" (37.1%) and "agree" (37.6%), whereas the two last items on developer's and radiologist' responsibilities were mostly answered with "neither agree nor disagree" (44.6% and 39.2%, respectively).DISCUSSION: Despite recent breakthroughs in the diagnostic performance of AI algorithms for the interpretation of screening mammograms, the general population currently does not support a fully independent use of such systems without involving a radiologist. The combination of a radiologist as a first reader and an AI system as a second reader in a breast cancer screening program finds most support at present. Accountability in case of AI-related diagnostic errors in screening mammography is still an unresolved conundrum. |
Databáze: | OpenAIRE |
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