Your browser doesn't support javascript.
loading
Women's attitudes and perspectives on the use of artificial intelligence in the assessment of screening mammograms.
Holen, Åsne Sørlien; Martiniussen, Marit Almenning; Bergan, Marie Burns; Moshina, Nataliia; Hovda, Tone; Hofvind, Solveig.
Afiliação
  • Holen ÅS; Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway. Electronic address: asho@kreftregsteret.no.
  • Martiniussen MA; Department of Radiology, Østfold Hospital Trust, Kalnes, Norway; University of Oslo, Institute of Clinical Medicine, Oslo, Norway. Electronic address: almenning.martiniussen@so-hf.no.
  • Bergan MB; Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway. Electronic address: mbbe@kreftregisteret.no.
  • Moshina N; Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway. Electronic address: namo@kreftregisteret.no.
  • Hovda T; Department of Radiology, Vestre Viken Hospital Trust, Drammen, Norway. Electronic address: tone.hovda@vestreviken.no.
  • Hofvind S; Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway; Department of Health and Care Sciences, UiT, The Artic University of Norway, Tromsø, Norway. Electronic address: sshh@kreftregisteret.no.
Eur J Radiol ; 175: 111431, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38520804
ABSTRACT

PURPOSE:

To investigate attitudes and perspectives on the use of artificial intelligence (AI) in the assessment of screening mammograms among women invited to BreastScreen Norway.

METHOD:

An anonymous survey was sent to all women invited to BreastScreen Norway during the study period, October 10, 2022, to December 25, 2022 (n = 84,543). Questions were answered on a 10-point Likert scale and as multiple-choice, addressing knowledge of AI, willingness to participate in AI studies, information needs, confidence in AI results and AI assisted reading strategies, and thoughts on concerns and benefits of AI in mammography screening. Analyses were performed using χ2 and logistic regression tests.

RESULTS:

General knowledge of AI was reported as extensive by 11.0% of the 8,355 respondents. Respondents were willing to participate in studies using AI either for decision support (64.0%) or triaging (54.9%). Being informed about use of AI-assisted image assessment was considered important, and a reading strategy of AI in combination with one radiologist preferred. Having extensive knowledge of AI was associated with willingness to participate in AI studies (decision support; odds ratio [OR] 5.1, 95% confidence interval [CI] 4.1-6.4, and triaging; OR 3.4, 95% CI 2.8-4.0) and trust in AI's independent assessment (OR 6.8, 95% CI 5.7, 8.3).

CONCLUSIONS:

Women invited to BreastScreen Norway had a positive attitude towards the use of AI in image assessment, given that human readers are still involved. Targeted information and increased public knowledge of AI could help achieve high participation in AI studies and successful implementation of AI in mammography screening.
Assuntos
Palavras-chave

Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Assunto principal: Neoplasias da Mama / Inteligência Artificial / Mamografia / Detecção Precoce de Câncer Limite: Adult / Aged / Female / Humans / Middle aged País/Região como assunto: Europa Idioma: En Revista: Eur J Radiol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Assunto principal: Neoplasias da Mama / Inteligência Artificial / Mamografia / Detecção Precoce de Câncer Limite: Adult / Aged / Female / Humans / Middle aged País/Região como assunto: Europa Idioma: En Revista: Eur J Radiol Ano de publicação: 2024 Tipo de documento: Article