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Showing content from https://pubmed.ncbi.nlm.nih.gov/36314388/ below:

Women's perceptions and attitudes to the use of AI in breast cancer screening: a survey in a cancer referral centre

. 2023 Jan 1;96(1141):20220569. doi: 10.1259/bjr.20220569. Epub 2022 Nov 15. Women's perceptions and attitudes to the use of AI in breast cancer screening: a survey in a cancer referral centre Anna Rotili¹, Elena Valconi², Giorgio Maria Agazzi², Marta Montesano¹, Silvia Penco¹, Luca Nicosia¹, Anna Bozzini¹, Lorenza Meneghetti¹, Antuono Latronico¹, Maria Pizzamiglio¹, Eleonora Rossero³, Aurora Gaeta⁴, Sara Raimondi⁴, Silvia Francesca Maria Pizzoli⁵, Roberto Grasso⁶, Gianpaolo Carrafiello⁷, Gabriella Pravettoni¹, Enrico Cassano¹

Affiliations

¹ Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
² Diagnostic and Interventional Radiology Unit, Department of Diagnostic and Therapeutic Advanced Technology, Azienda Socio Sanitaria Territoriale Santi Paolo and Carlo Hospital, Milan, Italy.
³ Laboratorio dei Diritti Fondamentali, Collegio Carlo Alberto, Torino ER, Turin, Italy.
⁴ Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy.
⁵ Dipartimento di Oncologia ed Emato Oncologia, Università degli studi di Milano, Milan, Italy.
⁶ Applied Research Division for Cognitive and Psychological Science, IEO European Institute of Oncology IRCCS, Milan, Italy.
⁷ Department of Radiology and Department of Health Sciences, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico and University of Milano, Milan, Italy.

PMID: 36314388
PMCID: PMC11864346
DOI: 10.1259/bjr.20220569

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Women's perceptions and attitudes to the use of AI in breast cancer screening: a survey in a cancer referral centre

Filippo Pesapane et al. Br J Radiol. 2023.

. 2023 Jan 1;96(1141):20220569. doi: 10.1259/bjr.20220569. Epub 2022 Nov 15. Authors Filippo Pesapane¹, Anna Rotili¹, Elena Valconi², Giorgio Maria Agazzi², Marta Montesano¹, Silvia Penco¹, Luca Nicosia¹, Anna Bozzini¹, Lorenza Meneghetti¹, Antuono Latronico¹, Maria Pizzamiglio¹, Eleonora Rossero³, Aurora Gaeta⁴, Sara Raimondi⁴, Silvia Francesca Maria Pizzoli⁵, Roberto Grasso⁶, Gianpaolo Carrafiello⁷, Gabriella Pravettoni¹, Enrico Cassano¹ Affiliations

¹ Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
² Diagnostic and Interventional Radiology Unit, Department of Diagnostic and Therapeutic Advanced Technology, Azienda Socio Sanitaria Territoriale Santi Paolo and Carlo Hospital, Milan, Italy.
³ Laboratorio dei Diritti Fondamentali, Collegio Carlo Alberto, Torino ER, Turin, Italy.
⁴ Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy.
⁵ Dipartimento di Oncologia ed Emato Oncologia, Università degli studi di Milano, Milan, Italy.
⁶ Applied Research Division for Cognitive and Psychological Science, IEO European Institute of Oncology IRCCS, Milan, Italy.
⁷ Department of Radiology and Department of Health Sciences, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico and University of Milano, Milan, Italy.

PMID: 36314388
PMCID: PMC11864346
DOI: 10.1259/bjr.20220569

Item in Clipboard

Abstract

Objective: Although breast cancer screening can benefit from Artificial Intelligence (AI), it is still unknown whether, to which extent or under which conditions, the use of AI is going to be accepted by the general population. The aim of our study is to evaluate what the females who are eligible for breast cancer screening know about AI and how they perceive such innovation.

Methods: We used a prospective survey consisting of a 11-multiple-choice questionnaire evaluating statistical associations with Chi-Square-test or Fisher-exact-test. Multinomial-logistic-regression was performed on items with more than two response categories. Odds ratio (OR) with 95% CI were computed to estimate the probability of a specific response according to patient's characteristics.

Results: In the 800 analysed questionnaires, 51% of respondents confirmed to have knowledge of AI. Of these, 88% expressed a positive opinion about its use in medicine. Non-Italian respondents were associated with the belief of having a deep awareness about AI more often than Italian respondents (OR = 1.91;95% CI[1.10-3.33]). Higher education level was associated with better opinions on the use of AI in medicine (OR = 4.69;95% CI[1.36-16.12]). According to 94% of respondents, the radiologists should always produce their own report on mammograms, whilst 77% agreed that AI should be used as a second reader. Most respondents (52%) considered that both the software developer and the radiologist should be held accountable for AI errors.

Conclusions: Most of the females undergoing screening in our Institute approve the introduction of AI, although only as a support to radiologist, and not in substitution thereof. Yet, accountability in case of AI errors is still unsolved. advances in knowledge:This survey may be considered as a pilot-study for the development of large-scale studies to understand females's demands and concerns about AI applications in breast cancer screening.

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Figures
Figure 1.

Baseline characteristics of the sample,…

Figure 1.

Baseline characteristics of the sample, including age classes, nationality (Italian, others), education level…

Figure 1.

Baseline characteristics of the sample, including age classes, nationality (Italian, others), education level and having undergone mammograms in the past.

Figure 2.

Survey variables for questions Q3,…

Figure 2.

Survey variables for questions Q3, Q4 and Q5 plotted on dimensions 1 (Dim1)…

Figure 2.

Survey variables for questions Q3, Q4 and Q5 plotted on dimensions 1 (Dim1) and 2 (Dim2) for Multiple Correspondence Analysis. These two dimensions account for 78.3% of the variability in responses. Distance from the axis indicates the association of the variable to the dimension. In addition, two points that are close to each other have greater association with each other. A plausible interpretation of the components is provided in each quadrant, in order to visualise the characteristics of different groups of females according to the two dimensions.