Egevad, Lars

Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study

Ström, P., Kartasalo, K., Olsson, H., Solorzano, L., Delahunt, B., Berney, D. M., Bostwick, D. G., Evans, A. J., Grignon, D. J., Humphrey, P. A., et al. (2020) · The Lancet Oncology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 620

The sextant protocol for ultrasound-guided core biopsies of the prostate underestimates the presence of cancer

Norberg, M., Egevad, L., Holmberg, L., Sparén, P., Norlén, B. J., & Busch, C. (1997) · Urology

Prostate Cancer Diagnosis and TreatmentCancer Diagnosis and Treatment

Cited by 423

Local and Systemic Protumorigenic Effects of Cancer-Associated Fibroblast-Derived GDF15

Bruzzese, F., Hägglöf, C., Leone, A., Sjöberg, E., Roca, M. S., Kiflemariam, S., Sjöblom, T., Hammarsten, P., Egevad, L., Bergh, A., et al. (2014) · Cancer Research

TGF-β signaling in diseasesGDF15 and Related Biomarkers

Cited by 127

Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction

Olsson, H., Kartasalo, K., Mulliqi, N., Capuccini, M., Ruusuvuori, P., Samaratunga, H., Delahunt, B., Lindskog, C., Janssen, E. A. M., Blilie, A., et al. (2022) · Nature Communications

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 111

Detection of perineural invasion in prostate needle biopsies with deep neural networks

Kartasalo, K., Ström, P., Ruusuvuori, P., Samaratunga, H., Delahunt, B., Tsuzuki, T., Eklund, M., & Egevad, L. (2022) · Virchows Archiv

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 29