Visualizing Future Breast Cancer Prognosis by Generative AI
Paper i proceeding, 2024

In Sweden, 30 percent of breast cancer cases are detected between screenings, leading to later staged cancer diagnoses. Aileen Health is preventing later staged cancers by making a breast cancer prognosis with generative AI. This study investigates how breast radiologists perceive AI-generated images and their usability as cancer prognosis. Through literature review and formative usability testing, the research study emphasizes the challenges when integrating AI-generated medical images into clinical decision-making. Furthermore, our findings stress the importance of avoiding cognitive overload and following mental models. Future research should focus on radiologists' use of breast cancer prognosis at various urgency levels, as well as AI accuracy of generated images.

breast cancer

mammography screening

radiology

user interface

AI

Författare

Clara Enström

Student vid Chalmers

Anna Tidstam

Aileen Health

Matilda Åboge Eriksson

Student vid Chalmers

Studies in health technology and informatics

09269630 (ISSN) 18798365 (eISSN)

Vol. 316 724-725

Ämneskategorier (SSIF 2011)

Cancer och onkologi

DOI

10.3233/SHTI240516

PubMed

39176897

Mer information

Senast uppdaterat

2024-10-28