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Congress: ECR25
Poster Number: C-24405
Type: Poster: EPOS Radiologist (scientific)
Authorblock: M. Wodrich, F. Sahlin, J. Karlsson, I. Arvidsson, K. Lang; Lund/SE
Disclosures:
Marisa Wodrich: Nothing to disclose
Freja Sahlin: Nothing to disclose
Jennie Karlsson: Nothing to disclose
Ida Arvidsson: Nothing to disclose
Kristina Lang: Nothing to disclose
Keywords: Artificial Intelligence, Breast, Oncology, Ultrasound, Comparative studies, Computer Applications-Detection, diagnosis, Screening, Cancer
References

[1] Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021). Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: a cancer journal for clinicians, 71(3), 209–249. https://doi.org/10.3322/caac.21660  

[2] Lee, L., & DeCara, J. M. (2020). Point-of-care ultrasound. Current cardiology reports, 22, 1-10. 

[3] Dietrich, C. F., Goudie, A., Chiorean, L., Cui, X. W., Gilja, O. H., Dong, Y., ... & Blaivas, M. (2017). Point of care ultrasound: a WFUMB position paper. Ultrasound in medicine & biology, 43(1), 49-58. 

[4] Diaz-Gomez, J. L., Mayo, P. H., & Koenig, S. J. (2021). Point-of-care ultrasonography. New England Journal of Medicine, 385(17), 1593-1602. 

[5] Frija, G., Salama, D. H., Kawooya, M. G., & Allen, B. (2023). A paradigm shift in point-of-care imaging in low-income and middle-income countries. EClinicalMedicine, 62. 

[6] Iyawe, E. P., Idowu, B. M., & Omoleye, O. J. (2021). Corrigendum: Radiology subspecialisation in Africa: A review of the current status. SA Journal of Radiology, 25(1).  

[7] Schwalbe, N., & Wahl, B. (2020). Artificial intelligence and the future of global health. The Lancet, 395(10236), 1579-1586. 

[8] Fruchtman Brot, H., & Mango, V. L. (2024). Artificial intelligence in breast ultrasound: application in clinical practice. Ultrasonography (Seoul, Korea), 43(1), 3–14. https://doi.org/10.14366/usg.23116 

[9] Karlsson, J., Arvidsson, I., Sahlin, F., Åström, K., Overgaard, N. C., Lång, K., & Heyden, A. (2023). Classification of point-of-care ultrasound in breast imaging using deep learning. In Medical Imaging 2023: Computer-Aided Diagnosis (Vol. 12465, pp. 191-199). SPIE. 

[10] Wodrich, M., Karlsson, J., Lång, K. & Arvidsson, I. (2025). Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings. In: Anazodo, U., et al. Medical Information Computing. MImA EMERGE 2024. Communications in Computer and Information Science, 2240. Springer, Cham. https://doi.org/10.1007/978-3-031-79103-1_5 
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