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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.
Pesapane, Filippo; Rotili, Anna; Valconi, Elena; Agazzi, Giorgio Maria; Montesano, Marta; Penco, Silvia; Nicosia, Luca; Bozzini, Anna; Meneghetti, Lorenza; Latronico, Antuono; Pizzamiglio, Maria; Rossero, Eleonora; Gaeta, Aurora; Raimondi, Sara; Pizzoli, Silvia Francesca Maria; Grasso, Roberto; Carrafiello, Gianpaolo; Pravettoni, Gabriella; Cassano, Enrico.
Afiliação
  • Pesapane F; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Rotili A; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Valconi E; Diagnostic and Interventional Radiology Unit, Department of Diagnostic and Therapeutic Advanced Technology, Azienda Socio Sanitaria Territoriale Santi Paolo and Carlo Hospital, Milan, Italy.
  • Agazzi GM; Diagnostic and Interventional Radiology Unit, Department of Diagnostic and Therapeutic Advanced Technology, Azienda Socio Sanitaria Territoriale Santi Paolo and Carlo Hospital, Milan, Italy.
  • Montesano M; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Penco S; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Nicosia L; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Bozzini A; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Meneghetti L; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Latronico A; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Pizzamiglio M; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Rossero E; Laboratorio dei Diritti Fondamentali, Collegio Carlo Alberto, Torino ER, Turin, Italy.
  • Gaeta A; Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Raimondi S; Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Pizzoli SFM; Dipartimento di Oncologia ed Emato Oncologia, Università degli studi di Milano, Milan, Italy.
  • Grasso R; Applied Research Division for Cognitive and Psychological Science, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Carrafiello G; Department of Radiology and Department of Health Sciences, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico and University of Milano, Milan, Italy.
  • Pravettoni G; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Cassano E; Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
Br J Radiol ; 96(1141): 20220569, 2023 Jan 01.
Article em En | MEDLINE | ID: mdl-36314388
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 knowledgeThis 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article