Acceptability of Automated Robotic Clinical Breast Examination: Survey Study.

Jenkinson, George P; Houghton, Natasha; van Zalk, Nejra; Waller, Jo; Bello, Fernando; Tzemanaki, Antonia

Jenkinson, George P; Houghton, Natasha; van Zalk, Nejra; Waller, Jo; Bello, Fernando; Tzemanaki, Antonia.

Afiliação

Jenkinson GP; Bristol Robotics Laboratory, Department of Mechanical Engineering, University of Bristol, Bristol, United Kingdom.
Houghton N; Centre for Engagement and Simulation Science, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
van Zalk N; Dyson School of Design Engineering, Imperial College London, London, United Kingdom.
Waller J; Cancer Prevention Group, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.
Bello F; Centre for Engagement and Simulation Science, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
Tzemanaki A; Bristol Robotics Laboratory, Department of Mechanical Engineering, University of Bristol, Bristol, United Kingdom.

J Particip Med ; 15: e42704, 2023 Apr 03.

Article em En | MEDLINE | ID: mdl-37010907

Palavras-chave

automated diagnosis; breast cancer; breast cancer detection; breast examination; health care robotics; mammography; participatory design; patient and public involvement; user acceptability

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Aspecto: Ethics / Patient_preference Idioma: En Revista: J Particip Med Ano de publicação: 2023 Tipo de documento: Article

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