Pathologists' first opinions on barriers and facilitators of computational pathology adoption in oncological pathology: an international study.

ABSTRACT: Computational pathology (CPath) algorithms detect, segment or classify cancer in whole slide images, approaching or even exceeding the accuracy of pathologists. Challenges have to be overcome before these algorithms can be used in practice. We therefore aim to explore international perspectives on the future role of CPath in oncological pathology by focusing on opinions and first experiences regarding barriers and facilitators. We conducted an international explorative eSurvey and semi-structured interviews with pathologists utilizing an implementation framework to classify potential influencing factors. The eSurvey results showed remarkable variation in opinions regarding attitude, understandability and validation of CPath. Interview results showed that barriers focused on the quality of

SUBMITTER: Swillens JEM 

PROVIDER: S-EPMC10504072 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature