Saint Göran Hospital

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.

2022 · 446 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.

2022 · 390 Zit.

Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study

Karin Dembrower, Alessio Crippa, Eugenia Colón et al.

2023 · 278 Zit.

Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study

Karin Dembrower, Erik Wåhlin, Yue Liu et al.

2020 · 277 Zit.

Women’s perceptions and attitudes towards the use of AI in mammography in Sweden: a qualitative interview study

Jennifer Viberg Johansson, Karin Dembrower, Fredrik Strand et al.

2024 · 29 Zit.

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence

Peter Ström, Kimmo Kartasalo, Henrik Olsson et al.

2019 · 26 Zit.

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence

Peter Ström, Kimmo Kartasalo, Henrik Olsson et al.

2019 · 12 Zit.

Implications for downstream workload based on calibrating an artificial intelligence detection algorithm by standalone-reader or combined-reader sensitivity matching

Karin Dembrower, Mattie Salim, Martin Eklund et al.

2023 · 11 Zit.

Human-AI Interaction in the ScreenTrustCAD Trial: Recall Proportion and Positive Predictive Value Related to Screening Mammograms Flagged by AI CAD versus a Human Reader

Karin Dembrower, Alessio Crippa, Martin Eklund et al.

2025 · 10 Zit.

Risk inventory and mitigation actions for AI in medical imaging—a qualitative study of implementing standalone AI for screening mammography

Annika Gerigoorian, Maha Kloub, Karin Dembrower et al.

2025 · 0 Zit.