Skåne University Hospital

Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study

Kristina Lång, Viktoria Josefsson, Anna-Maria Larsson et al.

2023 · 459 Zit.

Identifying normal mammograms in a large screening population using artificial intelligence

Kristina Lång, Magnus Dustler, Victor Dahlblom et al.

2020 · 125 Zit.

Can artificial intelligence reduce the interval cancer rate in mammography screening?

Kristina Lång, Solveig Hofvind, Alejandro Rodríguez‐Ruiz et al.

2021 · 96 Zit.

An Artificial Intelligence–based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies

Felicia Marginean, Ida Arvidsson, Athanasios Simoulis et al.

2020 · 53 Zit.

Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence

Victor Dahlblom, Magnus Dustler, Anders Tingberg et al.

2022 · 41 Zit.

Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients

Felix Busch, Lena Hoffmann, Lina Xu et al.

2025 · 35 Zit.

Exploiting blood-based biomarkers to align preclinical models with human traumatic brain injury

Ilaria Lisi, Federico Moro, Edoardo Mazzone et al.

2024 · 21 Zit.

Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists

Charlotte Högberg, Stefan Larsson, Kristina Lång

2023 · 21 Zit.

Moving Toward Implementation of Responsible Artificial Intelligence in Health Care

Michel E. van Genderen, Ilse Kant, Carlo Tacchetti et al.

2025 · 20 Zit.

Artificial intelligence and the medical physics profession - A Swedish perspective

Jonas Andersson, Tufve Nyholm, Crister Ceberg et al.

2021 · 19 Zit.

AI Model for Prostate Biopsies Predicts Cancer Survival

Kevin Sandeman, Sami Blom, Ville Koponen et al.

2022 · 19 Zit.

Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study

Mohammad Talal Elhakim, Sarah Wordenskjold Stougaard, Ole Graumann et al.

2023 · 14 Zit.

Engaging with artificial intelligence in mammography screening: Swedish breast radiologists’ views on trust, information and expertise

Charlotte Högberg, Stefan Larsson, Kristina Lång

2024 · 9 Zit.

Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial

Jessie Gommers, Veronica Hernström, Viktoria Josefsson et al.

2026 · 8 Zit.

Can AI serve as an independent second reader of mammograms? a simulation study

Alejandro Rodríguez‐Ruiz, Kristina Lång, Albert Gubern‐Mérida et al.

2020 · 8 Zit.